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Is water H₂O? (3): How chemists learned to count invisible atoms

16 September 2026 at 14:00

Author: José Luis Granados Mateo is a postdoctoral researcher in the Department of Philosophy at the University of the Basque Country (EHU) and a member of the Integrated History and Philosophy of Science (iHPS) research group. His work focuses on history and philosophy of science, science and values, and the epistemology of scientific practices.

 

Water is H₂O. Few scientific formulas look more familiar, more compact, or more final. Two atoms of hydrogen, one of oxygen: the phrase seems to say what water really is beneath the shifting appearances of ice, vapour, rain, rivers and the liquid in a glass.

Yet that little subscript was not easy to earn.

By the early nineteenth century, chemists had good reasons to treat water as a compound of hydrogen and oxygen. The old idea of water as a simple element had lost its authority, as we saw in Is Water H₂O? (1) From Element to Compound. Electrolysis then gave that claim a new experimental force, making hydrogen and oxygen appear under electrical action, although not without raising puzzles of its own, as discussed in Is Water H₂O? (2) The Puzzle of Water Electrolysis. What remained unsettled was a more delicate question. Not whether water had constituents, but how many of each entered one molecule.

Was water HO? H₂O? Something else?

Today the answer feels almost automatic. In the first decades of atomic chemistry, it was not. Dalton’s atomic theory made HO the natural formula: one atom of hydrogen, one atom of oxygen. Avogadro proposed something much closer to the modern answer very early, but his proposal did not settle the matter. For more than half a century, some of the best chemists in Europe disagreed over the formula of one of the most ordinary substances in the world.

The confusion was public enough to become comic. In the 1860s, when agreement was finally beginning to form, an author identifying himself as a certified lunatic at Hanwell Asylum wrote to Chemical News mocking the chemists’ inability to agree even about water. One could contemplate the bewildering variety of formulas, he suggested, until the brain first became confused, then swam, and finally softened.

The joke had bite because the embarrassment was real. Chemical tables were full of combining weights, volumes, radicals, equivalents and atomic symbols. Water had long ceased to be elementary. Yet the old difficulty remained: to know the formula, chemists had to count atoms; to count atoms, they would have had to see them. And they could not.

Liebig put the matter painfully in 1851. Chemists possessed no direct means of ascertaining the number of atoms even in the simplest compound, because that would require seeing and counting them. Atomic chemistry needed numbers for entities no one could inspect.

So the problem was not that the answer lay beyond all reach. It lay beyond direct reach. Chemists had to learn to count invisible things by making them answer to operations that could be performed.

 

A number, and two worlds

The difficulty begins with a ratio.

Hydrogen and oxygen combine in fixed proportions by weight. In round modern numbers, water contains one part hydrogen for eight parts oxygen. Chemists could establish the ratio; the difficulty began when that ratio had to be translated into atoms.

Suppose water is HO. One atom of hydrogen combines with one atom of oxygen. Since the oxygen contribution weighs eight times as much as the hydrogen contribution, the oxygen atom must weigh eight times as much as the hydrogen atom.

Now suppose water is H₂O. Two atoms of hydrogen combine with one atom of oxygen. The same measured ratio now yields a different atomic weight: oxygen must weigh sixteen times as much as hydrogen.

The laboratory ratio has not changed. The invisible architecture has.

That was the circular trap. Molecular formulas required atomic weights; atomic weights required molecular formulas. Measurement gave combining proportions, not little labelled particles waiting to be counted. A consistent chemistry could be built with HO and oxygen as 8. Another could be built with H₂O and oxygen as 16. Once the difficulty spread across many compounds, chemists were no longer facing a local uncertainty about water. They were choosing among possible atomic worlds.

The difficulty appeared at the worst possible place: the point where atomic chemistry had to begin producing reliable numbers.

 

Dalton’s necessary guess

Dalton knew that atomic theory needed a starting point.

He approached water from within a broader problem. Chemical substances combined in fixed proportions; in some cases, the same elements combined again in different but still simple ratios. Atomic theory offered a machinery for these regularities. If matter consisted of particles with definite weights, then chemical combination could be understood as their joining in determinate numbers, and the arithmetic of chemistry began to point towards an unseen order. What it still failed to provide was the count itself: the number of atoms entering each compound.

Dalton therefore introduced rules of simplicity. They were not decorative assumptions added to an otherwise complete theory. They were what allowed the theory to produce numbers at all. When only one compound of two elements was known, Dalton assumed the simplest possible atomic constitution: one atom of each. Since water was the known compound of hydrogen and oxygen, its formula became HO. Hydrogen could be assigned atomic weight 1, oxygen 8, and the system could begin to move.

Judged from later chemistry, Dalton’s rule has an air of innocence. It was a methodological expedient rather than an experimental result, a way of allowing atomic theory to proceed when direct counting was unavailable. Dalton was not looking into water molecules and counting badly; he was working with weights, tables and regularities, in a period before spectroscopy, quantum theory or a settled molecular chemistry had made atoms answerable in other ways.

HO was wrong. It was not random. It belonged to a method that could bring order to combining weights before chemistry had better ways of counting atoms.

H₂O
Figure 1. Dalton’s atomic symbols, from A New System of Chemical Philosophy (1808), Plate IV. Dalton’s table did not merely decorate atomic theory; it made atoms calculable through symbols, weights and simple combinations. In this scheme, water or steam appears as a binary compound of one atom of oxygen and one atom of hydrogen. Source: Wikimedia Commons, public domain.

 

What gas volumes seemed to promise

Another route opened through gases.

Volumes could be measured, and gases combined with a striking regularity. Gay-Lussac showed that gases entered reactions in simple volume ratios. Two volumes of hydrogen combine with one volume of oxygen to form water vapour; other gases display similarly neat relations. To anyone looking for a way to count invisible particles, this was tempting.

If equal volumes of gases contained equal numbers of particles, volume could become a counting device. It would not show atoms individually, but it might give chemists a way to infer how many particles were involved.

Avogadro made that move. Equal volumes of gases, under the same conditions, contain equal numbers of molecules. Grant that, and the formation of water vapour changes shape. Two volumes of hydrogen and one volume of oxygen produce two volumes of water vapour. The arithmetic works if hydrogen and oxygen gases are themselves molecular, H₂ and O₂, and if water is H₂O:

2H₂ + O₂ → 2H₂O

H₂O
Figure 2. Opening page of Avogadro’s 1811 essay on the relative masses of elementary molecules. Avogadro’s hypothesis made gas volume into a possible way of counting molecules: equal volumes of gases, under the same conditions, could be treated as containing equal numbers of molecules. The proposal pointed towards H₂O, but it did not immediately command the field. Source: Amedeo Avogadro, ‘Essai d’une manière de déterminer les masses relatives des molécules élémentaires des corps…’, Journal de Physique, 73, 1811; Wellcome Collection / Classic Chemistry.

There it is, almost modern chemistry.

Yet the hypothesis did not conquer the field. The reasons were not merely psychological, nor reducible to conservatism. Avogadro solved one problem while creating others that looked serious at the time. Dalton saw no obvious reason why atoms of the same element should join into stable pairs. In his picture, atoms were surrounded by repulsive atmospheres of caloric; piling like atoms together was hardly the natural assumption. For electrochemical dualists, the difficulty sharpened further. Like atoms ought to have like electrical characters, and like electrical characters ought to repel. Why should oxygen atoms pair with oxygen atoms? Why should hydrogen atoms pair with hydrogen atoms? Why stop at pairs?

The hypothesis also asked chemists to treat elementary gases as molecules containing several atoms of the same element, and to imagine those molecules splitting during chemical combination. To those who trusted weights more readily than invisible gas particles, this was a large demand.

Even sympathetic chemists found the route uneven. Dumas tried, for a time, to develop Avogadro’s approach, but vapour-density results did not behave with perfect neatness. Mercury, phosphorus and sulphur made it hard to treat every elementary vapour on the model of hydrogen or oxygen.

Avogadro had offered a powerful clue. It was not yet the common language of chemistry. Water could have been H₂O in 1811; historically, that was not enough.

 

Atoms with handles

Behind the disagreement over water lay a larger problem. Nineteenth-century chemists were learning how to handle atoms at all: as weights, as volumes, as equivalents, as electrical units, as radicals, as centres of substitution.

For some, atoms were bearers of weight. For others, units in an electrochemical opposition. In Avogadro’s programme, gases offered a way of counting particles by volume. In organic chemistry, atoms and radicals became things that could be moved, exchanged and followed through reactions. Later structural chemistry would give them positions and patterns of connection.

Atoms entered chemistry through these practices unevenly: as things to be weighed, counted, exchanged, classified or connected.

A formula could be useful in one setting and awkward in another. Atomic weights could seem natural when derived from one class of operations and arbitrary when forced into another. Equivalents worked well for neutralisation and replacement. Volumes worked well for gases, though not without trouble. Substitution worked powerfully in organic chemistry. Electrochemical dualism arranged substances by polarity and affinity.

No single practice simply revealed atoms as they were. Each gave atoms a handle.

That is why the history of H₂O is not just a story about choosing the correct formula. The formula became convincing when atoms could be made to enter operations: weighed in one context, counted in another, substituted in a third, arranged elsewhere by their capacities for connection. Seeing was unavailable; work had to do the job of sight.

 

The caution of equivalents

One response to the circular trap was to avoid stepping fully into it.

Many chemists were cautious about atoms. Atomic language sounded metaphysical, or at least more speculative than the discipline required. Equivalent weights appeared safer. One substance could neutralise, replace or combine with another in a definite proportion, and those relations could be measured without deciding what atoms really were or how many of them sat inside a molecule.

Equivalents allowed calculation while holding invisible architecture at arm’s length. A chemist could say how much of one substance answered to another in reaction, without committing to a microscopic count.

This caution was productive. It helped chemists calculate, compare and classify. It also preserved ambiguity. In practice, an equivalent could behave rather like an atomic weight, even when chemists insisted that they were avoiding speculative atomism.

Water once again exposed the difficulty. If oxygen’s equivalent was 8 relative to hydrogen, HO looked natural. If oxygen’s atomic weight was 16, H₂O became natural. The issue depended on the passage from observable combining relations to invisible atomic units.

The appeal to equivalents allowed chemists to postpone bolder claims about atoms, while leaving a theoretical judgment embedded in the passage from measurable reactions to invisible units.

 

The detour through organic chemistry

The decisive work did not come from staring harder at water.

That is one of the surprises in this history. H₂O gained its strength elsewhere: in the movement of radicals, in substitutions, in families of organic compounds. Organic chemistry gave chemists a way to manipulate groups of atoms and to follow their replacements through reactions.

The key idea was the water type.

If water is H₂O, oxygen can be treated as holding two units together. In water, the two units are hydrogens. In alcohols and ethers, one or both hydrogens can be replaced by organic radicals. Water, alcohols and ethers could therefore be seen as members of a family, built around oxygen’s capacity to connect two branches.

At first this sounds like a tidy diagram. It became much more than that.

Williamson’s work on etherification gave the water type experimental substance. The older Liebig-Dumas view treated etherification largely as a removal of water from alcohol under the dehydrating action of sulphuric acid. Williamson rewrote the process as a traffic of groups. Sulphuric acid took an ethyl group from alcohol, leaving water behind; the resulting sulphovinic acid then handed that ethyl group to another alcohol molecule, taking hydrogen in return. Sulphuric acid was regenerated, and ether was produced.

The formula was doing work. It allowed chemists to follow the movement of groups through a sequence of transformations instead of merely recording elemental proportions at the beginning and the end.

Then came the sharper test. If the water-type picture was right, oxygen could hold two different radicals at once. Williamson therefore contrived ethers containing different combinations of methyl, ethyl and amyl groups. These were mixed ethers, not mere mixtures of symmetrical ethers. Under the rival Liebig-Dumas scheme, such mixed ethers should not have appeared as distinct compounds at all; at most, the experiments should have produced mixtures of symmetrical ethers.

Their production gave the water type operational force.

 

H₂O
Figure 3. A modern schematic representation of the Williamson ether synthesis. The diagram is not a reproduction of Williamson’s nineteenth-century notation, but it captures the substitutional logic that made his work so important: ethers could be produced by replacing hydrogen in alcohols with organic radicals. This helped make the “water type” experimentally powerful, since water, alcohols and ethers could be understood as related compounds organised around oxygen’s twofold combining capacity. Source: Wikimedia Commons, CC0.

H₂O gained strength because it travelled. It helped chemists understand not only water, but alcohols, ethers and families of organic compounds. It made substitutions intelligible. It made room for oxygen as an atom with a definite combining capacity.

The problem had widened. Water was no longer an isolated substance to be analysed, but the simplest expression of oxygen’s capacity to bind, exchange and organise chemical groups.

 

Counting by substitution

Substitution reactions gave atoms a kind of experimental visibility.

No one saw oxygen holding two hydrogens. No one watched radicals attach themselves like beads on a wire. But chemists could replace one group with another and see what sort of compound resulted. If an atom or radical could be substituted without the molecule falling apart, that said something about the architecture of the compound. If replacing a central atom broke the molecule into two products, that said something else.

Here the language of valency began to acquire force. Oxygen and sulphur behaved as if they could bind two units. Chlorine behaved differently, as if it had only one hand. The metaphor is crude, but useful; later it would be disciplined into valency.

Water became the simplest member of a larger argument. If oxygen could connect two radicals in ethers, then the two hydrogens in water no longer looked like an arbitrary doubling. They were the simplest expression of oxygen’s twofold combining capacity.

The older picture of a central binding atom would later lose its privileged status. What remained was more durable: a number attached to an element’s capacity for combination.

This was a different kind of counting from Dalton’s simplicity rule or Avogadro’s gas volumes. Dalton counted by assuming the simplest combination. Avogadro counted through equal volumes. Organic chemists counted through substitutions, replacements and families of compounds. None of these methods made atoms visible. Each made them usable in a different way.

H₂O became embedded in a network of operations in which oxygen’s twofold capacity could be tested across many compounds. The formula began to earn its keep.

 

Cannizzaro and the story we like to tell

There is a familiar heroic version of the story. Avogadro discovered the key; chemists forgot it; Cannizzaro revived it at Karlsruhe in 1860; the fog lifted; H₂O won.

There is some truth in this. Not enough.

Cannizzaro’s intervention mattered. His presentation of atomic and molecular weights was clear, forceful and timely. By using Avogadro’s ideas, he gave chemists a way to distinguish atoms from molecules, molecular weights from atomic weights, formulas from combining proportions. His pamphlet circulated after Karlsruhe and influenced younger chemists who were looking for order in a confusing field.

The achievement was real. It was not miraculous.

By the time of Karlsruhe, many of the crucial battles had already been fought elsewhere. Organic chemistry had done a great deal of the work. Substitution, types, radicals and valency had given chemists practical ways to count and sort atoms. Cannizzaro clarified and spread a system that was already becoming workable; he did not unlock the problem by himself.

Nor did his account contain the strongest organic side of the story. Williamson, types, radicals and substitution had already made H₂O useful in ways that a purely Avogadrian argument could not.

Consensus emerged because several practices began to reinforce one another. Volumes, atomic weights, substitution patterns, organic structures and valencies gradually pulled in the same direction. H₂O did not win because an old hypothesis was finally remembered. It won because chemists had learned to make the formula work across a widening range of operations.

A formula becomes harder to doubt when it begins to do work elsewhere.

When H₂O became workable

By the 1860s, H₂O was no longer an isolated claim about water. It belonged to a broader chemical world.

Hydrogen was monovalent. Oxygen was divalent. Water belonged to a family of compounds in which oxygen could connect two units. Gas volumes supported the distinction between atoms and molecules. Organic substitutions gave chemists ways to test combining capacities. Atomic weights and molecular formulas could now be adjusted together with less arbitrariness than before.

Agreement on H₂O did not mean agreement on the reality of formulas. Some chemists treated them as useful instruments; others took them as claims about molecular architecture; many occupied positions somewhere between those poles. Chemical atomism became operationally secure before philosophical realism about atoms became uncontested.

The settlement also did not turn chemistry into a single perfectly unified language. Equivalent weights, atomic weights, empirical formulas, structural formulas and physical atomism did not collapse into one view. The field was rearranged. H₂O became stable within that rearrangement, not because every older tension disappeared, but because enough practices now supported the same count.

Once that happened, HO no longer looked like a reasonable simplification. It looked wrong. But it looked wrong from inside a later practice.

 

What H₂O hides

H₂O looks almost weightless on the page. Three symbols, one subscript, a formula learnt so early that it seems to have no history at all.

It has a long one.

Before chemists could write that subscript with confidence, water had to lose its ancient simplicity, acquire hydrogen and oxygen as constituents, and then submit to a harder demand. Its invisible parts had to be counted.

That last demand was the strangest. Weights could be measured, gases collected, volumes compared, substances replaced, compounds arranged into families. Yet no one could open a molecule and inspect its furniture. The number two had to come from elsewhere.

It came from operations. From volumes that made gases countable; from equivalents that allowed calculation; from substitutions that let radicals change places; from families of compounds in which oxygen repeatedly behaved as a twofold centre of combination. A count that no eye could read became stable through chemical work.

This is what the formula now conceals. H₂O is neither a convention nor a snapshot of an invisible object. It is a compressed history of practices, a small sign in which balances, gases, paper formulas, ethers, substitutions and valencies have disappeared into familiarity.

Water is H₂O. The difficulty lies in remembering how much chemistry had to be invented before that sentence could become obvious.

 

References

Avogadro, A. (1811). ‘Essai d’une manière de déterminer les masses relatives des molécules élémentaires des corps, et les proportions selon lesquelles elles entrent dans ces combinaisons’. Journal de physique, de chimie, d’histoire naturelle et des arts, 73, pp. 58–76.

Cannizzaro, S. ([1858] 1910). Sketch of a Course of Chemical Philosophy. Alembic Club Reprints, no. 18. Edinburgh: The Alembic Club.

Chang, H. (2012). Is Water H₂O? Evidence, Realism and Pluralism. Dordrecht: Springer. DOI 10.1007/978-94-007-3932-1.

Dalton, J. (1808). A New System of Chemical Philosophy, Part I. Manchester: Printed by S. Russell, for R. Bickerstaff, Strand, London.

Gay-Lussac, J. L. (1809). ‘Mémoire sur la combinaison des substances gazeuses, les unes avec les autres’. Mémoires de physique et de chimie de la Société d’Arcueil, 2, pp. 207–234.

Klein, U. (2003). Experiments, Models, Paper Tools: Cultures of Organic Chemistry in the Nineteenth Century. Stanford: Stanford University Press.

Liebig, J. von. (1851). Familiar Letters on Chemistry, in Its Relations to Physiology, Dietetics, Agriculture, Commerce, and Political Economy. 3rd ed. London: Taylor, Walton, & Maberly.

Rocke, A. J. (1984). Chemical Atomism in the Nineteenth Century: From Dalton to Cannizzaro. Columbus: Ohio State University Press.

Rocke, A. J. (2010). Image and Reality: Kekulé, Kopp, and the Scientific Imagination. Chicago: University of Chicago Press.

Williamson, A. W. (1850). ‘Theory of Ætherification’. The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science, 3rd series, 37(251), pp. 350–356.

Williamson, A. W. (1852). ‘On Etherification’. Quarterly Journal of the Chemical Society of London, 4, pp. 229–239. DOI 10.1039/QJ8520400229.

 

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Bees view the world in surprisingly different ways

15 September 2026 at 14:00

Authors: Elisa Rigosi, Researcher in Sensory Biology, Department of Biology, Lund University and David O’Carroll, Professor of Sensory Biology, Department of Biology, Lund University

An Australian blue-banded bee: different species have evolved very different solutions to the challenge of seeing their world. Photo: Louise Docker / CC BY 2.0, Wikimedia Commons

One bee has long been regarded as a benchmark for visual performance: the honeybee drone.

These male honeybees (Apis mellifera) have evolved highly specialised eyes for detecting queens during mating flights. They are extraordinarily sensitive to tiny moving objects less than half a degree across. In human terms, that’s like spotting a person more than 250 metres away.

Honeybees have dominated research on bee vision for more than a century. But some of the most impressive visual performances measured in our new study came from rarely studied, solitary species.

While the honeybee lives in massive colonies, most bee species are solitary so must do everything themselves: find food, locate mates, provision their nests. In terms of vision, several of the solitary species we researched outperformed honeybee workers in a number of ways, including the sharpness of images formed by their eyes.

Photo: Muhammad Mahdi Karim / Wikimedia Commons

Understanding how these different evolutionary solutions work is important for more than just understanding bee biology. It could provide ideas for nature-inspired technologies, from compact visual sensors to autonomous robots.

How bees’ eyes have adapted

With more than 20,000 species worldwide, bees show extraordinary diversity in lifestyle, body size and ecological role. Some live in open environments; others forage in dense vegetation or in dim light at dawn, dusk and even at night.

Such remarkable diversity prompted us to ask the question: how have bees’ eyes adapted to such different lifestyles and visual demands?

Bees see the world through compound eyes made up of thousands of tiny lenses. These odd-looking structures are their main tools to navigate, locate flowers and identify important landmarks.

Our new study of some daytime-active bee species shows that even bees with similar-looking eyes can achieve impressive visual performance in surprisingly different ways.

Male wool carder bees (Anthidium manicatum), for example, spend much of their day patrolling territories and chasing rivals or potential mates through the air. This bee pushes visual sharpness to the limit with its exceptionally small photoreceptors that minimise optical blur. In contrast, honeybee drones have evolved large lenses that maximise sensitivity.

Video: David O’Carroll/Lund University.

The Australian blue-banded bee (Amegilla) manages to detect small objects and see sharp images just as well without either of these extreme strategies. Instead, it achieves similar visual performance using a different combination of optical design and sampling.

From the outside, the eyes of these bees all look very similar. But when we looked more closely, we found the size of their visual sensors (photoreceptors) differed greatly.

These light-sensitive structures are a bit like the pixels in a smartphone camera. They sit behind the bees’ tiny eye lenses, converting light into electrical signals. Larger pixels capture more light, improving sensitivity, while smaller ones can help preserve image sharpness.

The challenge – for smartphone designers and evolution alike – is balancing these competing demands.

Something unexpected

Looking at anatomy tells us how the eye is built, but not how well it performs. To answer this question, we recorded directly from individual photoreceptors in living bees.

We used glass microelectrodes with tips just a few tens of nanometers wide – thousands of times thinner than a human hair. That allowed us, for the first time in these species, to measure the tiny electrical signals that single cells produce when the bees were shown tiny objects on a computer display.

Our results revealed something unexpected. The diminutive Australian blue-banded bee lacks the enormous eyes of a honeybee drone, yet achieved a similar level of sensitivity in its photoreceptors.

At first glance, this seems paradoxical. How can bee eyes built so differently perform so similarly?

The answer is that evolution is not working towards a single ideal design. Different species have arrived at similar visual performance through different combinations of optical design, photoreceptor structure and visual sampling.

Our findings show why it is important to look beyond a handful of familiar species. By studying a wider range of bees, we can better understand how different senses have evolved, leading to a variety of adaptive solutions.

This is true not only for vision but for other traits, including how bees respond to environmental stresses such as heat and pesticide exposure.

Unique evolutionary innovations

Through our research, we are just beginning to appreciate the remarkably different ways of seeing the world that bees have evolved.

Different bee species have evolved different solutions to the challenges of seeing their world. For example, the Australian blue-banded bee is a buzz pollinator, able to vibrate flowers to release pollen in a way that honeybees cannot. This makes it a potentially valuable pollinator of crops such as tomatoes in Australia, where bumblebees are not naturally present.

Such diverse evolutionary solutions may also prove useful to engineers. Designers of cameras, robots and autonomous vehicles face many of the same challenges as bees: how to gather enough visual information while keeping sensors small, efficient and affordable.

Bees and other insects have been a fruitful source of inspiration for artificial vision systems. In our previous work, we developed computational models based on insect target motion processing that turned out to be as robust as alternative engineered solutions, with large benefits in processing efficiency.

We have now translated these models on to an autonomous robot that can pursue moving targets within natural scenes and even into autonomous flying drones.

Unfortunately, as bee diversity declines worldwide, there is a risk that we lose not only species, but the unique evolutionary innovations that have taken millions of years to develop.The Conversation

 

This article is republished from The Conversation under a Creative Commons license.  Original article.

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Is Water H₂O? (2): The puzzle of water electrolysis

9 September 2026 at 14:00

Author: José Luis Granados Mateo is a postdoctoral researcher in the Department of Philosophy at the University of the Basque Country (EHU) and a member of the Integrated History and Philosophy of Science (iHPS) research group. His work focuses on history and philosophy of science, science and values, and the epistemology of scientific practices.

By 1800, water had already changed once. It was no longer one of nature’s simple terms, but a compound of hydrogen and oxygen (see Is Water H₂O? (1) From Element to Compound). The new chemistry had a powerful account of that change. What it still wanted was a more direct experiment: water itself, giving up its constituents.

Then came Volta’s pile.

It was not a spectacular object. Discs of metal stacked in pairs, pieces of moist material between them. Yet it altered the experimental life of electricity. Static machines produced sparks, shocks and theatrical moments. The pile offered something steadier. Electricity could now be made to act for long enough to enter chemistry.

electrolysis
Figure 1 Voltaic pile, the first electric battery, invented by Alessandro Volta in 1800. It did not look spectacular, but it changed what experimenters could do with electricity: it provided a sustained electrical action, long enough for electricity to become a chemical instrument. Source: Science History Institute / Public Domain

Nicholson and Carlisle tried it on water almost at once. They placed wires from the pile in the liquid. Gas appeared, or rather the two sides of the reaction began to declare themselves. Hydrogen was released at one wire; oxygen, in the earliest arrangement, fixed itself to the other, nearly two inches away. Later, with gold or platinum electrodes, oxygen could be collected as gas. The awkward fact remained. The two supposed products of one decomposition appeared at opposite electrical ends of the apparatus.

At first glance, this looked like the experiment the new chemistry had been waiting for.

The trouble was that it looked a little too good.

 

A cleaner decomposition

The first article in this series followed water from element to compound. That change had not been a simple passage from error to fact. It involved a wider transformation of chemical practice: new gases, new names, balances, combustion experiments, recomposition, and a growing confidence in quantitative composition.

Electrolysis seemed to bypass much of that history. No flame, no combustion vessel, no burning of inflammable air with oxygen, no droplets collected on glass. The battery appeared to make water surrender its constituents directly. If water was composed of hydrogen and oxygen, here was synthesis in reverse: pass electrical action through the liquid and the two gases would come out.

Strictly speaking, electrical decomposition of water was not new. In 1789, Adriaan Paets van Troostwijk and Jan Rudolph Deiman had used repeated sparks of static electricity to obtain a mixture of hydrogen and oxygen from water, then recombined that mixture into water. Their experiment mattered. It was also awkward. The gases came together, in small quantities, and separating them for testing was difficult.

Nicholson and Carlisle’s version looked sharper. The Voltaic pile produced sustained action. The products could be made to appear separately. Hydrogen here, oxygen there. Each could be collected, examined and identified.

That was the improvement. It was also where the puzzle began.

 

When neatness becomes suspicious

Suppose water is decomposed. What, exactly, has been decomposed? A particle of water, perhaps. Yet if that particle is split into hydrogen and oxygen, why do the products not appear together? Why does hydrogen emerge at one wire and oxygen at the other? Why should the layout of the battery govern the place where each product appears, while the water between the wires shows no visible sign of being torn apart?

This was not an experiment going wrong. The gases appeared reliably. They appeared at the expected poles. That was precisely what made the situation uncomfortable.

Nicholson noticed the difficulty at once. Hydrogen appeared at one wire; oxygen was found at the other, nearly two inches away. The space between them did not look like a region where water was being visibly pulled into its parts. No trail of bubbles marked the route. The products simply appeared at opposite ends of the electrical arrangement, as if the battery had assigned them places.

Others saw the same embarrassment. Cuvier put it bluntly: if oxygen and hydrogen came from the same particle of water, why did they appear at two distant points, each always at its own wire? Haüy pressed the problem in molecular terms. If one molecule of water was decomposed, why were its products separated? If two molecules were decomposed, why did one give only hydrogen and the other only oxygen?

The question was almost childishly simple. That was why it would not go away.

Today we speak of ions, electrodes and charge transport. Those words make the old difficulty vanish before we have properly felt it. Around 1800, chemists had poles, attractions, affinities, particles, electrical fluids, acids, alkalis, metals, and a growing suspicion that electricity and chemistry belonged together. The experiment was clear enough. The mechanism was not.

Chang calls this the distance problem. The phrase is exact. The gases appeared with too much order for a simple story of local decomposition.

 

The distance problem

The obvious interpretation could still be defended. Perhaps electricity pulled the constituents of water apart. Oxygen went to one pole, hydrogen to the other. Many experiments already suggested that substances had different electrical tendencies, so the idea was hardly absurd.

It left the hardest part untouched.

What travelled through the water? Hydrogen? Oxygen? Something already separated? Something charged? If the constituents were detached somewhere between the electrodes, why did they not appear on the way? If they moved invisibly, why did they not recombine? And if decomposition happened only at the wires, how could it be the decomposition of the same portion of water?

Changes in apparatus did not remove the difficulty. Davy tried water held in separate gold cups, connected only by a moist bridge of fine asbestos, an arrangement he attributed to William Hyde Wollaston. The products still appeared at distant sites. The more carefully experimenters separated the places of action, the more pressing the question became: where, exactly, was water being decomposed?

electrolysis
Figure 2. The distance problem in water electrolysis. Hydrogen appeared at one electrical pole and oxygen at the other, even when the sites of action were separated. The experiment seemed to show that water was decomposed, yet it left open the question of how the products travelled, or whether they were instead produced locally at the electrodes. Source: Diagram generated by the author using AI, based on Chang (2012) and Davy’s 1807 experiments.

 

That was the oddity. Electrolysis was not messy. If anything, it was too orderly. Hydrogen went one way, oxygen another. The battery gave a geography to the products of decomposition.

A flame did nothing like this. When inflammable air burned with oxygen, water appeared as the product of combination. There were difficulties, of course, but not difficulties of distance. Electrolysis changed the spatial form of chemical evidence. Water did not answer in one place. It answered at two.

Under electrical action, water no longer seemed merely something to be composed or decomposed. It seemed to contain routes.

 

Ritter changes the verb

Johann Wilhelm Ritter changed the verb.

For Lavoisierian chemists, electrolysis was analysis. Electricity decomposed water into hydrogen and oxygen. Ritter proposed the reverse. Electrolysis was synthesis.

At the negative pole, water combined with negative electricity and yielded hydrogen. At the positive pole, water combined with positive electricity and yielded oxygen. No product needed to travel from a decomposed particle somewhere in the middle of the liquid. The gases were made where they appeared.

It was a radical move. It was not foolish. Ritter took the most striking feature of the experiment seriously: the gases emerged at different poles. He did not treat that separation as an inconvenience to be patched up later. He built his interpretation around it. If hydrogen appears here and oxygen there, perhaps the two gases are being formed locally by two different electrical processes.

The price was high. Water became elementary again. Hydrogen and oxygen became compounds of water and electricity.

To modern chemistry, this looks perverse. Seen from the apparatus, it had one plain advantage: the gases were produced where they were found. Electricity was still widely treated as something with material agency. If a pile drove something into a liquid, why could that something not combine chemically with the liquid? Why must electricity be only the knife, and never part of what is made?

The phlogistonist echo was clear enough. If inflammable air could be read as water combined with phlogiston, hydrogen could be read as water combined with negative electricity. Identify phlogiston with negative electricity, and Ritter’s scheme comes surprisingly close to older anti-Lavoisierian accounts of water.

Priestley, from America, also saw that the new experiment did not force the Lavoisierian reading. He followed the debate through Nicholson’s journal and argued that electrolysis need not be understood as the decomposition of compound water. His intervention matters because it shows how differently the same electrical process could be read. For Lavoisierians, the gases were constituents released from water. For Priestley, they could still be products of another chemical-electrical process.

Ritter’s view did not last. Chemistry was becoming more firmly Lavoisierian, and elementary water had little room left in the emerging discipline. Still, electrolysis itself had not supplied a neat refutation. Ritter had solved the distance problem rather well. His view lost ground as chemists built an electrochemical practice around compound water.

Keeping water a compound

The Lavoisierian problem was delicate. Chemists had to hold three claims together. Water was composed of hydrogen and oxygen. Electricity decomposed it. Yet the products appeared at different electrodes, with no visible decomposition in between.

So the theory needed help.

One option was invisible transfer: one constituent moved through the liquid to its proper pole. Another was a chain of decompositions and recompositions, in which neighbouring particles handed hydrogen and oxygen along until the products emerged at the ends. In related versions, the whole liquid was imagined as electrically ordered, so that the final gases appeared only where that order met the metal.

These were rescue hypotheses. The phrase can sound dismissive, although it need not be. They were attempts to make a powerful practice intelligible. Electrolysis worked. Its effects could be repeated, varied and extended. What was missing was a mechanism that made the spatial separation of the gases sit comfortably with compound water.

The chain idea had a certain elegance. No single particle of hydrogen or oxygen needed to travel the whole distance. A constituent could be passed along through a succession of exchanges, like a message moving through a crowd. The gas would appear only at the end of the chain.

But what exactly was being passed? How were the exchanges coordinated? Why did the process end at just the right pole? The explanation helped, though it left plenty in the dark.

The transfer idea had its own attraction. If chemical particles had electrical characters, perhaps they could be drawn through the liquid. Again, however, the path remained hidden. The water between the wires did not display the process one wanted to see. Without a developed theory of ions and charge transport, the mechanism remained speculative.

None of this made the hypotheses useless. They kept research going. They suggested new apparatuses, new distances, new electrodes, new liquids and new comparisons. An experiment need not be fully understood before it becomes useful.

That is more or less what happened.

 

When water stopped being negotiable

By the early nineteenth century, compound water was becoming part of the working furniture of chemistry. Not every detail had been explained. The distance problem remained. Yet fewer and fewer chemists were prepared to reopen the older question of whether water might be elementary.

Water as a compound was no longer simply a hypothesis under trial. Increasingly, it was a condition for further work.

That shift mattered. Once water was taken as compound, electrochemistry could ask other questions. What moved towards each pole? What kinds of substances were decomposed by the pile? How did acids, alkalis, salts and metals behave under electrical action? What changed when the electrode, distance or solution changed? How much chemical change corresponded to how much electrical action?

The material practice hardened. Trough batteries became easier to handle. Gold and platinum electrodes helped prevent the products from disappearing into reactions with the metal. Separate cups connected by wet asbestos became a standard arrangement. The theory remained unsettled, but the apparatus was becoming disciplined.

The unresolved puzzle did not stop electrochemistry. Experimenters varied the arrangement. They separated vessels, introduced bridges, changed electrodes, added acids and salts, and studied what appeared where. The field learnt to handle the phenomena before it possessed a settled account of what moved inside the liquid.

Later developments brought more discipline. Faraday gave electrolysis a quantitative discipline in the 1830s. By the end of the nineteenth century, Arrhenius’s theory of ionic dissociation would help make sense of processes that had long remained obscure. That later clarity, though, should not be read backwards into 1800. For decades, electrochemistry advanced with a problem at its centre.

 

What electricity did to water

Electrolysis changed what water could be made to do in the laboratory. It did not simply reveal a truth waiting inside the liquid. It altered the route by which that truth could be pursued.

The first article in this series followed water into the balance sheet of chemistry. Water became a substance that could be produced, analysed, recomposed, weighed and named through its constituents. Electrolysis added another sort of depth. Water could now be interrogated electrically. Its constitution became a problem of poles, currents, attractions, transport and hidden motion.

Lavoisierian chemistry had given water constituents. Electrochemistry gave it pathways.

The familiar classroom demonstration hides that difficulty. The bubbles are easy to see. Their meaning was not. Hydrogen here, oxygen there: that simple separation forced chemists to imagine invisible processes inside a liquid that otherwise looked continuous and unchanged.

Electrolysis made compound water harder to abandon, without making it transparent. It turned water into an electrochemical object: something that could conduct, polarise, transport, release and exchange. The question was no longer only whether hydrogen and oxygen belonged to water. It was how electrical action could make them appear at all.

Still, electrolysis could not settle the formula. It could make water yield hydrogen and oxygen. It could not tell chemists how those elements should be counted.

That was the next difficulty. Once water had constituents, chemistry still had to learn how to count them.

 

References

Chang, H. (2012). Is Water H2O? Evidence, Realism and Pluralism. Dordrecht: Springer. doi: 10.1007/978-94-007-3932-1.

Davy, H. (1807). ‘The Bakerian Lecture, on Some Chemical Agencies of Electricity’. Philosophical Transactions of the Royal Society of London, 97, pp. 1–56. doi: 10.1098/rstl.1807.0001.

Faraday, M. (1834). ‘Experimental Researches in Electricity.—Seventh Series’. Philosophical Transactions of the Royal Society of London, 124, pp. 77–122. doi: 10.1098/rstl.1834.0008.

Nicholson, W. (1800). ‘Account of the New Electrical or Galvanic Apparatus of Sig. Alex. Volta, and Experiments Performed with the Same’. Journal of Natural Philosophy, Chemistry, and the Arts, 4, pp. 179–187.

Singer, G. J. (1814). Elements of Electricity and Electro-Chemistry. London: Printed for Longman, Hurst, Rees, Orme, A. Brown, and R. Triphook.

Volta, A. (1800). ‘On the Electricity Excited by the Mere Contact of Conducting Substances of Different Kinds’. Philosophical Transactions of the Royal Society of London, 90, pp. 403–431. doi: 10.1098/rstl.1800.0018.

Wilkinson, C. H. (1804). Elements of Galvanism, in Theory and Practice: With a Comprehensive View of Its History, from the First Experiments of Galvani to the Present Time. 2 vols. London: John Murray.

 

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Eating a handful of nuts each day is linked with lower risk of high blood pressure

8 September 2026 at 14:00

Author: Shireen Kassam, Visiting Professor, Health and Wellbeing Research Group, University of Winchester and Dagfinn Aune, Research Fellow, School of Public Health, Imperial College London

nuts
Photo: Fernanda Martinez / Unsplash

More than 1.4 billion people worldwide live with high blood pressure (hypertension). It’s the single biggest metabolic risk factor for early death – driving diseases such as heart attacks, strokes, kidney failure and dementia.

Most of these cases of high blood pressure are shaped by how we live and what we eat. This means that making changes to your diet can have a big impact on your risk of developing high blood pressure.

Even small changes can help, as our latest research shows. We found that adding just one serving of nuts into your daily diet is linked with lower hypertension risk.

It’s well known that eating more plant foods is associated with a lower risk of hypertension – but research on the impact of nuts has been limited to date.

Fruits and vegetables are associated with a lower risk of hypertension, with consumption of 800g (ten portions) per day reducing the risk by 11%.

Whole grains – brown rice, oats, wholemeal bread – are similarly linked to lower risk of hypertension. Our research found that the people who consumed the highest amount of whole grains each day had a roughly 26% lower risk compared to people consuming the least.

We have also shown that legumes and soya are associated with a 16% and 19% lower risk of hypertension respectively.

Our latest analysis published in the British Journal of Nutrition, now shows the clear impact eating nuts can have on hypertension risk.

Our study pooled data from 143,000 people – including 20,665 people who had hypertension. We found that eating around a handful of nuts daily (between 30-35g) was linked with a 26% lower risk of hypertension compared to not eating any nuts.

Why plant foods work

Plant foods share a few key characteristics, which may explain why they’re beneficial for the heart.

They are an excellent source of potassium, which helps to lower blood pressure by shedding sodium and relaxing blood vessels.

Plant foods also provide fibre that feeds gut bacteria so they can produce short-chain fatty acids – compounds that are linked to lower blood pressure.

Many plant foods also contain L-arginine and nitrates, which the body converts into nitric oxide in order to widen blood vessels. Plant foods are rich in polyphenols, which have also been associated with lower blood pressure.

Despite nuts being energy-dense, they’re linked to lower obesity rates – thus helping to mitigate another risk factor for hypertension.

These overlapping mechanisms all nudge blood pressure down, and help explain the link between plant-rich diets and lower risk of cardiovascular diseases.

But as tempting as it might be to call nuts a heart health “superfood,” their real power lies within a broader pattern of healthy eating. While reductions in hypertension risk are observed with intake of even just one daily serving of nuts, a diet built around several whole plant foods may provide even further benefits.

This is exactly what Dash, Mediterranean and plant-based diets prove. They all work because they put these different plant-based foods on the same plate.

However, it’s worth noting that the studies included in our analysis are observational. This means they show that people who eat more nuts tend to have lower blood pressure, but they cannot fully prove that nuts are the cause.

People who consume more plant foods in their diet also tend to follow other healthy lifestyle habits such as regular physical activity. Although our analysis adjusted for many of these factors, we cannot fully rule their impact out.

But the randomised controlled Dash diet trials, where diet is actually changed to include more vegetables, whole grains and lean protein, are what give us confidence the link is real. Similarly, intervention trials, which compared the effects of multiple different plant-based diets, also show benefits for blood pressure reduction.

There are knowledge gaps to note, too. The nut studies we included in our review did not separate salted from unsalted. Since salt raises blood pressure, the true benefit of unsalted nuts may even be larger than reported.

Most of the data also came from Europe, the Americas and East Asia. Little evidence came from Africa and India. More large studies conducted in a variety of regions will help sharpen the evidence base.

The takeaway is practical and affordable. You don’t need supplements or fads. Fill half your plate with fruit and veg, choose whole grains, build meals around beans and tofu and add a handful of unsalted nuts. These are small habits that add up to a significant reduction in one of our biggest health risks.The Conversation

 

This article is republished from The Conversation under a Creative Commons license. Original article.

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Were Denisovans tall compared to other ancient humans?

2 September 2026 at 14:00

Author: Sally Christine Reynolds, Associate Professor in Hominin Palaeoecology, Bournemouth University

 

Denisovans
The large Harbin skull from China has been linked to Denisovans through DNA and ancient proteins. Source: Wikimedia Commons

Take a walk in London’s Trafalgar Square this summer and wilting under the heat will be all sorts of body sizes, some tall, some short: a real mix of sizes.

Picking just two from the crowd to represent the whole human species would be a tall order. But that is exactly what we do when we find fossils of ancient hominins (human relatives).

Anthropologists can estimate a person’s height with reasonable accuracy from the long bones – your femur (thigh bone) works well. On average, the size of this bone
scales well with overall height, given a large samples of bones.

This is exactly what a group of scientists have done using fossils dredged from the seafloor off Taiwan. To add to the mystery, these bones are those of Denisovans, currently one of the most enigmatic species of hominins.

The Denisovans were a widespread species of Homo (the genus which encompasses our own species, as well as close relatives such as Neanderthals). They were initially known only from genetic sequences that had been extracted from isolated fragments of material, such as a small finger bone, at Denisova Cave in the Altai Mountains of Siberia.

The apparent absence of substantial fossil material from this species made them mysterious, although in recent years, fresh discoveries have added to our understanding. These include the Dragon Man (or Harbin) skull, recovered from a river in northeast China. DNA and protein analysis has now linked this large skull to the Denisovans.

The remarkable feature of the fossils analysed by Yousuke Kaifu, from the University of Tokyo, and colleagues, is that they were dredged from the Penghu Channel in the Taiwan Strait.

Most rare hominin fossils are carefully excavated, allowing researchers to record their exact position within layers of sediment and their relationship to associated animals, artefacts and environmental evidence.

These bones were instead recovered from the seabed among the fossilised remains of terrestrial ice age mammals, probably deposited when sea levels exposed the channel as dry land around the time when the ice age was at its height. Their precise discovery locations and geological contexts were not recorded.

This makes the fossils scientifically unusual: their anatomy and preserved proteins contain valuable evidence. However, much of the contextual information normally supplied by an archaeological excavation has been lost.

Recovered long bones

The bones – an incomplete femur (thigh bone) and tibia (the largest bone in the shin) – have been assigned to two Denisovans on the basis of analyses of their recovered ancient proteomes. A proteome is the collection of proteins preserved within a fossil. These proteins can retain evidence of evolutionary relationships, even when DNA has been lost.

These bones produced slightly different proteome signals, which is why the authors suggest that these represent two individuals. The newly described femur and tibia are likewise not directly dated.

Denisovans
A replica of the Turkana boy skeleton at the American Museum of Natural History in New York. Source: Wikimedia Commons

Because they were recovered by dredging and lack secure geological provenance, they can only be placed broadly within the Middle to Late Pleistocene, using the animal remains and preservation evidence. The Pleistocene epoch lasted from around 2.58 million years ago until 11,700 years ago.

Aside from assigning the bones to Denisovans, the researchers have used them to infer the stature of the two individuals. They are incomplete, which complicates matters somewhat, but skilled anatomists can be reasonably confident on the complete bone sizes.

The lack of context for the fossils – normally provided by the sediments in which they are recovered from – means we don’t know if the two individuals lived at the same time or at least a similar interval.

But the bones are long and when the other body elements are scaled based on the leg bones, it suggests that these individuals were tall. In the new paper, Yousuke Kaifu and colleagues say that the estimated height of Penghu 2 (one of the newly described specimens) was approximately 1.8 metres (5’11”), with a weight of around 83kg.

Their estimates for the other fossil, Penghu 3, give a height of about 1.9 metres (6’3″) and a weight of about 91kg. These estimates, the team writes in their study, “are comparable to the largest known Pleistocene Homo from Africa and Europe”.

Inferring tallness as a species-level trait based on two individuals is challenging, although it has not prevented some headlines from claiming that Denisovans were tall. Think back to our walk in Trafalgar Square.

Proceed with caution

The dangers of reconstructing stature are illustrated by the famous Turkana Boy or Nariokotome Boy, a remarkably complete Homo erectus skeleton discovered in Kenya in 1984. He was unusual because his skull, teeth and long bones were all complete and available for study.

He was already around 1.6 metres tall when he died, but estimates of his age have differed. Dentally, he appears younger than his skeleton suggests. His skeletal development appeared comparable to that of a modern human aged around 11-13, while microscopic growth increments in his teeth suggested that he was only about eight or nine.

The discrepancy reflects uncertainty over whether Homo erectus grew slowly like us, including an adolescent growth spurt, or matured more rapidly.

Different assumptions consequently produced different projections of his adult height, although more recent modelling suggests he would probably have reached approximately 1.76–1.80 metres.

He is the only example of such a complete Homo erectus skeleton, but does this mean that all members of his species would have been as tall? We should be sceptical – just as we should be about the height of Denisovans.The Conversation

 

This article is republished from The Conversation under a Creative Commons license. Original article.

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Is water H₂O? (1): From element to compound

31 August 2026 at 14:00

Author: José Luis Granados Mateo is a postdoctoral researcher in the Department of Philosophy at the University of the Basque Country (EHU) and a member of the Integrated History and Philosophy of Science (iHPS) research group. His work focuses on history and philosophy of science, science and values, and the epistemology of scientific practices.

 

Take a glass of water. Nothing about it seems to ask for a theory. It has no colour worth naming, no dramatic smell, no visible architecture. It runs, freezes, boils, evaporates, dissolves, erodes, circulates and nourishes. It belongs to weather, geology, physiology, cooking and plumbing before it belongs to chemistry.

Then science gives us the famous abbreviation: H₂O.

There is a curious finality in those three symbols. They seem to do what ordinary experience cannot. Rain, steam, ice, rivers, blood and laboratory wash bottles are all brought under a clean chemical statement. Two atoms of hydrogen, one atom of oxygen. For many people, H₂O is more than a formula. It is almost an emblem of scientific knowledge, the moment when science gets behind appearances and tells us what something really is.

Yet the formula stands at the end of a long story. Before water could be written as H₂O, it had to acquire a chemical interior. Chemists first had to learn to treat the most familiar liquid in the world as something that could be taken apart, recomposed and assigned constituents. The first transformation was not from one formula to another. It was from element to compound.

H₂O
Figure 1. Experiment on the decomposition of water, from Antoine-Laurent Lavoisier’s Traité élémentaire de chimie (1789), Plate IV; engraving by Marie-Anne Pierrette Paulze Lavoisier. Before water could be written as H₂O, it had to become an experimental object, handled through gases, vessels, combustion and weighing. Source: Science History Institute, Public Domain Mark 1.0.

 

This is the starting point of Hasok Chang’s Is Water H₂O?, a book that does for water something close to what Inventing Temperature did for thermometry. Temperature now looks like a number waiting to be read from a scale. Chang showed that the scale had to earn that appearance of simplicity. Fixed points had to be stabilised, instruments compared, extrapolations justified. Measurement became routine only after it had first been constructed as a reliable practice.

Water presented another kind of difficulty. The problem was not how to make a phenomenon answer numerically, but how to make a familiar substance answer analytically. Chemists had to learn to look at water as more than something that flowed, froze, boiled, dissolved, condensed or could be purified. They had to ask whether it had an inside: whether it could be taken apart, made again, and understood through its constituents.

To us, that question feels almost unavoidable. In the eighteenth century, it was anything but.

 

When water had no parts

For much of European natural philosophy, water was an element. That claim can sound childish to us, though only because we hear it through the categories that later displaced it.

The idea was older than Aristotle. Thales had imagined water as the origin of things; Empedocles later placed it among the four basic “roots” of the world, alongside earth, air and fire. Aristotle gave that inherited scheme a more systematic form. But these were not elements in the modern chemical sense. No one was classifying them by atomic number, nuclear charge or molecular structure. They belonged to a physics of qualities and transformations, of hot and cold, wet and dry. Water was simple because, in that world, it occupied a basic place in the order of natural change.

By the eighteenth century, that older grammar had been heavily rewritten. Chemistry had become crowded with acids, alkalis, precipitates, metallic calxes, distillations and newly isolated “airs”. Water was everywhere in this world. It served as solvent, medium, reagent, product and experimental environment. It could be purified, frozen, boiled, condensed and recovered.

Still, none of that made it automatically compound. A substance can be experimentally familiar and still have no recognised chemical interior.

The difficulty is easy to miss because we already speak the language that solved it. We say that hydrogen burns in oxygen to form water. But eighteenth-century chemists did not begin with hydrogen and oxygen. They had inflammable air, dephlogisticated air, fixed air, nitrous air and other gaseous bodies whose identities were still unsettled. The experiment did not come with modern subtitles. The vocabulary in which its meaning now appears self-evident was itself one of the products of the revolution.

Water became a compound when certain operations began to count as analysis and synthesis: taking water apart, producing it again, and treating the substances involved as its constituents. This was more than a taxonomic adjustment. It changed the standard of chemical knowledge. To know a substance now meant, increasingly, to know what it was made of.

 

The wrong theory that worked

The defeated rival was phlogiston theory. Posterity has enjoyed defeating it again and again.

In the usual caricature, phlogiston was a ghostly fire-stuff. Combustible bodies contained it and released it when they burned. Metals contained it too. When heated in air, they lost phlogiston and became calxes. Heat the calx with charcoal, and the metal returned because phlogiston had been restored. Then Lavoisier introduced oxygen, and the ghost vanished.

What makes this story so satisfying? Precisely what makes it misleading. It tells the Chemical Revolution from the winner’s seat, where oxygen looks inevitable and phlogiston appears only to make its exit.

From inside the eighteenth-century laboratory, the story looks less like a comedy of error. Phlogiston was not a fantasy floating above the experiments. It belonged to things chemists and metallurgists handled every day. Metals dulled and lost their malleability when calcined. Calxes could be brought back to metal with charcoal. Ores became usable metals in furnaces. Fire, air, metals, respiration and reduction seemed to be tied together by a common traffic of activity. Phlogiston named that traffic. It was a mistaken name for a real pattern.

No one shows this better than Joseph Priestley. He was not a dim survivor of pre-modern chemistry, nor an experimental genius trapped in mere confusion, but one of the great investigators of the eighteenth century, a dissenting minister, political radical and virtuoso of pneumatic chemistry. In Leeds, living beside a brewery, he studied the “fixed air” rising from fermentation, now carbon dioxide. Later, by heating the red calx of mercury, he obtained a far more remarkable gas. Flames burned in it with unusual brilliance; animals could breathe it for longer than ordinary air; Priestley even tried it himself, noticing what he described as a peculiar lightness in his chest.

We call that gas oxygen. Priestley did not. To him, it was dephlogisticated air.

 

H₂O
Figure 2. Gas-manipulating apparatus associated with Joseph Priestley’s pneumatic chemistry, 1775. Priestley’s “dephlogisticated air” was not an arbitrary name, but part of a working experimental culture built around the production, collection and manipulation of gases. Source: Wellcome Collection, M0018264: Illustration of gas manipulating apparatus, 1775. Public Domain.

 

The name sounds absurd only when detached from the operations that made it meaningful. In phlogiston chemistry, ordinary air could become loaded with phlogiston. Air deprived of phlogiston would therefore be especially ready to absorb it again. It should support combustion powerfully and sustain respiration unusually well. That is exactly what Priestley saw. His interpretation was wrong, but it was not arbitrary. It made sense of real experimental behaviour.

Nor was the winning term free of theory. Lavoisier called the gas oxygen, meaning “acid-generator”, because he believed oxygen was the universal principle of acidity. That too was false. The defeated word preserved one mistake; the victorious word preserved another. One became a fossil of discarded chemistry. The other became familiar enough to hide its own history.

 

A few drops on the glass

The next turn in the story came from a gas with a wonderfully plain eighteenth-century name: inflammable air. We now call it hydrogen.

Henry Cavendish had studied this light, combustible gas in the 1760s. It could be produced by reacting metals with acids, and it burned readily. When inflammable air was burned together with dephlogisticated air, something extraordinary happened. Water appeared. Two invisible airs had produced the most familiar liquid in the world.

It is hard, now, not to let modern chemistry finish the sentence for us. Hydrogen combines with oxygen to form water. Of course. But the droplets on the glass did not settle the matter by themselves. They had to be interpreted.

A phlogistonist could tell the story differently. Perhaps inflammable air was water combined with phlogiston. Perhaps dephlogisticated air was water deprived of it, or at least air peculiarly ready to receive it. On that reading, the experiment did not reveal that water was composed of two gases. It showed that ordinary water could be restored through the right exchange of phlogiston.

That may sound evasive from our side of the Chemical Revolution. At the time, it was not an absurd reply. A flame, a gas, a misted vessel, a change in weight. None of these comes with its meaning attached. Evidence becomes evidence inside a working system of concepts, operations and standards. What counts as a substance? What counts as a component? What counts as analysis rather than transformation? Which variable should be trusted most, appearance, activity, weight, or reproducibility?

The new chemistry changed the setting in which the experiment was read. The appearance of water was no longer merely a striking event at the end of combustion. It became part of a quantitative account. How much inflammable air had disappeared? How much oxygen had been involved? How much water had been produced? Could water be decomposed and then recomposed, with the numbers matching closely enough to make the same substance appear on both sides of the operation?

At that point, water was no longer simply appearing on the glass. It was entering the balance sheet of chemistry.

 

The balance makes composition visible

A metal is heated in air. It dulls, loses its shine, gives up its malleability and turns into a calx. In phlogiston chemistry, this looked like a loss. The metal had given up the principle that made it metallic.

Then came the awkward fact on the bench. The calx was heavier.

Heavier, after a supposed loss.

That did not destroy phlogiston theory in a single blow. Good chemists could still defend it, and did. Yet the weight gain gave oxygen chemistry an opening. Perhaps calcination was better understood as combination with something from the air. Follow the weights carefully and chemical change begins to look different. Appearances still matter. Activity still matters. So do colour, heat, flame, residue and reversibility. But weight gives the whole operation a new discipline. It turns transformation into material accounting.

 

H₂O
Figure 3. Lavoisier’s laboratory balance and gas-measuring apparatus, from Antoine-Laurent Lavoisier’s Traité élémentaire de chimie (1789), Plate VIII; engraving by Marie-Anne Pierrette Paulze Lavoisier. In the new chemistry, weighing was not merely a technical aid. It helped make composition visible by turning chemical reactions into material accounts. Source: Science History Institute. Public Domain.

 

The same habit of attention changed the status of water. A substance that can be broken down into measured quantities of other substances, and then produced again from them, starts to lose its old simplicity. It has become analysable. It has constituents.

This was the strongest hand of the new chemistry. Combustion, calcination, gases and water could now be drawn into the same quantitative order. Chemical names changed too. A name was expected to do more than preserve origin, appearance, use or inherited convention. Ideally, it should tell chemists what a substance contained.

The point needs care. This was never a struggle between careful measurers and careless speculators. Cavendish was one of the most exact experimentalists of the century. Richard Kirwan, among the serious defenders of phlogiston, treated weight as a genuine difficulty. The disagreement concerned the authority of weight. Should it count as one experimental constraint among others, or should it become the privileged route to chemical identity?

That question slowly shifted the terrain. Phlogiston chemistry was most at home in a language of principles, powers and transformations. What gives a body combustibility? Why does a metal lose its metallic character? How can a calx be revived? What passes from one substance to another when reaction occurs?

The new chemistry pressed elsewhere. What does this substance contain? In what proportions? Can those constituents be separated and brought together again while the material account remains intact?

Once that style of reasoning became dominant, water’s old simplicity became harder to defend. Water could still be boiled, condensed, purified and recovered, just as before. Now it could also be weighed into a different story. It could be decomposed, recomposed, renamed and treated as a body with an interior.

 

No single knockout blow

The usual story of the Chemical Revolution likes a clean scene. Priestley isolates oxygen and fails to recognise it. Lavoisier understands what Priestley could not. Phlogiston collapses. Modern chemistry begins.

History was less obliging.

Priestley knew the new chemistry and resisted it. Cavendish remained cautious. Other competent chemists hesitated, adopted parts of the oxygen system, or kept some version of phlogiston alive. Their reluctance was not simple blindness. Phlogiston theory still connected combustion, respiration, calcination, reduction and the behaviour of airs. It had also helped produce many of the experimental facts that later counted in favour of oxygen chemistry.

Lavoisier’s system, for all its power, carried its own burdens. His theory of acidity was wrong. The very word oxygen preserved that mistake, since it named the gas as the supposed generator of acids. His chemistry also relied on caloric, an imponderable fluid of heat. Seen from the present, caloric does not look obviously more respectable than phlogiston. Lavoisierian chemistry was elegant, disciplined and transformative. It was not modern chemistry arriving whole and immaculate.

So the real historical question is more interesting than the textbook one. Why did one way of doing chemistry become more convincing, more portable, more teachable and more productive than another?

Much of the answer lies in the rise of compositionism. Oxygen chemistry made substances legible as combinations of measurable constituents. Reactions became material accounts. Chemical names began to function as compressed statements of composition. Laboratory operations, weights, gases and nomenclature could now be made to speak the same language.

Phlogiston still made sense of many transformations, but it sat uneasily in that emerging world. It named a principle of activity, a way of thinking about combustibility, metallic character, reduction and chemical power. The new chemistry increasingly wanted components. It asked what substances were made of, how much of each constituent they contained, and whether those constituents could be separated and brought together again.

As compositionism gained ground, phlogiston began to lose its natural habitat. It could still speak about combustion, reduction and chemical activity, but chemistry was moving towards another language: constituents, proportions, balances, material accounts. The revolution changed the answer, certainly. More importantly, it changed the kind of answer chemistry wanted.

The first metamorphosis of water

When water became a compound, it did more than shift from one scientific category to another. Its identity for chemistry changed.

Before this transition, water could pass through laboratory practice while keeping its apparent simplicity. It could be boiled, frozen, distilled, condensed, purified and recovered. It appeared everywhere, as liquid, vapour, solvent, medium, residue or product. Familiarity gave it stability. It did not yet give it an interior.

After the Chemical Revolution, the same substance began to occupy a different role. Water could be produced from other bodies, analysed through them, and assigned constituents. The liquid that returned from vapour or appeared after combustion now carried a hidden depth. It was no longer merely recovered; it could be accounted for.

Nobody saw that hidden constitution. There were no water molecules under a microscope, no direct image of hydrogen and oxygen joined together. The evidence came through laboratory work: gases prepared and collected, vessels sealed, mixtures burned, droplets condensed, weights compared, names revised. Compound water became credible through practice before it became imaginable as a molecular structure.

This is why the story should not run too quickly towards H₂O. Lavoisierian chemistry helped establish water as a compound of hydrogen and oxygen. It did not settle the formula. It was one thing to say that water was made from hydrogen and oxygen; it was another to decide how many atoms of each entered the compound. That question would take nineteenth-century chemistry into a different set of difficulties.

First came the more basic metamorphosis. Water ceased to be one of nature’s simple terms. It became a substance that could be decomposed, recomposed and written in the language of other substances.

 

The cost of clarity

The new chemistry clarified immensely. It disciplined measurement, stabilised nomenclature and helped make possible the modern science of composition. But clarity selects. It illuminates some things by pushing others into shadow.

Phlogiston theory had been concerned with chemical activity. Why do substances burn, reduce, revive, calcine, combine and transform? Early compositional chemistry was much better at saying what entered and left a reaction than at explaining why the reaction happened at all. It provided an excellent account book, though not yet a full theory of chemical agency.

Some questions once handled by phlogiston later returned in different forms. Chemical potential energy, oxidation-reduction and electrons all came to occupy parts of the conceptual space that phlogiston had once held. That does not vindicate phlogiston as a literal substance. It suggests something subtler and more useful. A false theory can preserve real questions. A victorious theory can be right and still leave work unfinished.

This is a more realistic picture of scientific progress. Oxygen chemistry won for good reasons. But those reasons were not contained in one devastating experiment before which only fools could hesitate. They belonged to a wider reorganisation of chemical practice.

Water’s first great chemical transformation was therefore not the discovery of a formula. It was the making of a new kind of object. The familiar liquid became something that could be analysed, recomposed, weighed and named through its constituents. Only after that could the later question become pressing: not whether water was compound, but what exactly its composition was.

Electricity seemed about to settle the matter. It made water yield hydrogen and oxygen directly, as if nature had finally supplied the decisive experiment.

Instead, the proof produced a new puzzle.

 

References

Chang, H. (2012). Is Water H₂O? Evidence, Realism and Pluralism. Springer. doi 10.1007/978-94-007-3932-1.

Chang, H. (2004). Inventing Temperature. Measurement and Scientific Progress. Oxford University Press.

Cavendish, H. (1784). ‘Experiments on Air’. Philosophical Transactions of the Royal Society of London, 74, 119–153.

Kirwan, R. (1789). An Essay on Phlogiston and the Constitution of Acids. London, J. Johnson.

Lavoisier, A.-L. ([1789] 1965). Elements of Chemistry. Dover.

Priestley, J. ([1796] 1969). Considerations on the Doctrine of Phlogiston, and the Decomposition of Water. Kraus Reprint.

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China’s Moon mission to find water ice is unlike anything NASA has done

26 August 2026 at 14:00

Author: Richard de Grijs, Professor of Astrophysics, Macquarie University

Chang’e-7
Shackleton crater on the Lunar South Pole.
NASA’s Scientific Visualization Studio

 

How do you explore a place where the Sun never shines? China’s space programme will soon embark on one of the most innovative lunar exploration missions in recent years.

We’ve known for nearly two decades that some form of water exists on the Moon. What we still don’t know is exactly how much accessible water ice lies inside permanently shadowed craters, how deeply it is buried or what form it takes.

What we do know is that accessing that water ice will be a real challenge: it is found at the bottom of deep, hard-to-traverse craters where the Sun never shines, remaining untouched for billions of years at temperatures well below –200°C. These are among the most valuable places on the Moon, but the hardest to reach and explore.

Lunar exploration has come a long way since the Soviet Union’s Luna-1 probe reached the Moon’s vicinity in January 1959. The Apollo missions and their successors showed the challenge is no longer simply to reach the Moon. It is to explore places human and conventional rovers cannot easily go, and ultimately determine whether the Moon itself can provide some of the resources that future explorers will need.

China has spent two decades building an increasingly ambitious lunar exploration programme, named after Chang’e, the ancient Chinese goddess of the Moon. The Chang’e-7 mission is expected to set course for our celestial neighbour later this month, although a recent failure involving a different Chinese rocket has introduced some uncertainty over the launch date. Here’s what makes this latest mission so interesting.

What is Chang’e-7 set to achieve?

The mission will test several novel approaches to lunar exploration. It will consist of an orbiter, a lander, a rover and a hopper.

In addition, the Queqiao-2 lunar relay satellite is already in place. Launched separately in March 2024, it subsequently supported the Chang’e-6 mission and will facilitate communication between Earth and the lunar surface during the Chang’e-7 mission.

We don’t know precisely where the mission will land, but a site on or near an illuminated ridge close to the Shackleton crater in the Lunar South Pole’s Aitken region is a prime candidate.

The hopper will be the mission’s real star. Unlike a wheeled rover, it’s designed to leap over broken terrain and descend into craters where sunlight never reaches, places conventional vehicles may simply be unable to enter.

Adding it to the mission makes sense, given the steep crater walls, broken terrain, permanent shadow and the need for autonomous navigation and communications.

Chinese scientists won’t be looking for signs of water; we already have compelling evidence for lunar polar water. The question at the mission’s core is where exactly that water is located, in what form and concentration, and whether it could realistically be accessed.

This marks a transition from simply exploring the Moon to determining whether its resources can actually be used.

Chang’e-7
Mosaic of the Moon’s south polar region, width approximately 600 km. The south pole is at the centre of the intersecting lines.
NASA/GSFC/Arizona State University

How NASA is taking a different tack

Other nations are similarly interested in addressing that same question. The United States is pursuing the same longer-term objective of making sustained lunar operations possible. Although NASA will be confronted by the same physical problems, the American space agency has opted for a different solution.

Chang’e-7 is a coordinated state mission whose elements have been designed around a single, specific objective and which can use the already operational Queqiao-2 infrastructure.

NASA, by contrast, is deliberately trying something different: building a lunar marketplace through its Commercial Lunar Payload Services (CLPS) programme. The agency buys lunar delivery, mobility and technology services from companies that own and operate their own spacecraft.

NASA currently has 17 contracted deliveries carrying more than 60 instruments.

And the American effort has already yielded useful experience: Intuitive Machines’ IM-2 mission, Athena, attempted strikingly similar undertakings to Chang’e-7. It carried a drill and mass spectrometer looking for volatiles, a small hopping vehicle intended to explore difficult terrain and an experimental mobile communications network. However, the lander fell over at the landing site and was powered down just one day after arriving.

In essence, the destination dictates the problems; different space programmes are experimenting with different ways to resolve them.

Learning how to live on the Moon

Finding lunar resources is only the first step. Chang’e-7 will attempt to determine where useful lunar resources are found near the Moon’s South Pole and characterise their nature.

Chang’e-8, slated for potential launch in 2028, will move towards demonstrating how they might actually be used.

Crewed exploration will likely follow, culminating in the construction of the International Lunar Research Station, jointly led by the China National Space Administration and Russia’s Roscosmos space agency.

On the other side of the Pacific, the CLPS will feed technology and science into the broader NASA-led Artemis programme, which the agency explicitly describes as laying the foundation for sustained lunar exploration.

Ultimately, the lunar South Pole doesn’t care which flag is on a spacecraft. Any explorer entering its permanently shadowed craters faces the same darkness, severe cold, broken terrain and communications problems.

Getting to the Moon was one of the great technological challenges of the 20th century. Learning how to live and work there may be one of the great challenges of the 21st.The Conversation

 

This article is republished from The Conversation under a Creative Commons license. Original article.

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The death of dark energy is a false alarm – the universe is still accelerating

19 August 2026 at 14:00

Authors: Phil Wiseman, Senior Research Fellow and Ernest Rutherford Fellow in Physics and Astronomy, University of Southampton and Mark Sullivan, Professor, University of Southampton

accelerating
JWST Deep field. Source: Nasa, Esa, CSA, and STScI

A 2025 study by South Korean researchers caught the attention of the astronomy community when it suggested that the evidence behind dark energy could be wrong. Dark energy makes up about 70% of the universe but nobody knows what it is. This makes it a frequent target for scepticism.

Scientists had long known that the universe was expanding. But in the late 1990s, researchers discovered that this expansion was accelerating. Astrophysicists concluded that something must be driving the acceleration. They named this unknown quantity “dark energy”.

The 2025 re-analysis, by a team at Yonsei University in Seoul, suggested that the expansion of the universe was not in fact accelerating.

Our team at the University of Southampton has now gone through the Yonsei team’s findings. Our results, published in Monthly Notices of the Royal Astronomical Society (MNRAS), suggest that the results were a false alarm.

However, the Yonsei University team have said they stand by their results and that a follow up study supports their finding that the universe may not be accelerating.

What is dark energy?

In the late 1990s, cosmology was upended by a startling discovery. Scientists knew the universe was expanding, but they had assumed that gravity was gradually slowing down this expansion.

However, by observing incredibly bright, thermonuclear explosions of white dwarf stars, two independent teams of astronomers found the opposite. Because these explosions, known as Type Ia supernovae, have almost the same intrinsic brightness, comparing how bright they appear gives a precise distance.

In 1998, data revealed that distant supernovae were fainter than they should have been in a slowing universe. Because faintness implies distance, the observations placed these supernovae farther away than expected, and implied that the cosmic expansion was not slowing.

In fact, when the calculations were run, it was clear that the expansion of the universe was actually speeding up.

There was no convincing physical explanation for this “cosmic acceleration”. Physicists labelled the mysterious, repulsive force that causes the acceleration “dark energy”.

Cosmic calibration

To understand the Yonsei University group’s claims, we must understand how astronomers use supernovae as “standard candles” to measure cosmic distances. Type Ia supernovae are remarkably alike, but they are not identical.

Cosmologists correct for these differences. They use subtle calibrations to account for relationships between the brightness of the supernovae and measurements like their colour, the duration of their light curves, and the type of galaxies they explode in.

One of those corrections is well known but subtle. It links the brightness of a supernova to the size of the galaxy it exploded in. Big galaxies hold more stars, and so more mass. After the standard corrections, supernovae in those big (massive) galaxies come out a few per cent brighter than ones in small galaxies. Nobody knows why.

accelerating
SN 1572 is the remnant of a Type Ia supernova.
Nasa / JPL-Caltech / CXC / Calar Alto O. Krause /MPIA

But bigger galaxies typically have older stars that are made up of heavier elements, which could in turn influence the properties of the supernovae that some of those stars become. The authors of the 2025 study proposed a far bigger evolutionary effect. They argued that the brightness of Type Ia supernovae changes significantly as the universe ages.

Specifically, they claimed that older white dwarf stars, which are more common in the nearby, present-day universe, produce brighter explosions. That would mean today’s supernovae are inherently much brighter than their distant, early-universe counterparts.

If true, the faintness we observe in distant supernovae would not be a result of their being further away, a relationship that is in turn driven by dark energy, but rather an evolutionary trait of the stars themselves. This claim threatened to dismantle almost three decades of progress in astronomy.

Addressing the claims

Extraordinary claims need careful testing. At the University of Southampton we embarked on an audit of the data, using observations from the Dark Energy Survey (DES), an astronomy project designed to constrain dark energy’s properties, alongside the same dataset used by the authors of the 2025 work. In doing so, we sought to replicate and test their conclusions.

Our re-analysis revealed what we saw as two problems in the Yonsei study: a technical omission and a flawed assumption about stellar populations. Once corrected, the data fell back in line with standard cosmological results, including those of DES.

Victor M Blanco telescope in Chile.
The Dark Energy Survey gathered data using a wide-field camera mounted on the Victor M Blanco telescope in Chile.
CTIO/NOIRLab/NSF/AURA/T. Matsopoulos, CC BY

Crucially, the 2025 study did not account for how supernovae in big galaxies come out a few per cent brighter than ones in small galaxies. When our team reapplied this correction to the same dataset, the correlation between a supernova’s brightness and galaxy age – presented by the Yonsei team in their paper – became far weaker.

This doesn’t mean that the age of a white dwarf star has no effect on the brightness of a resulting supernova. Indeed, most researchers in the field would likely accept that the brightnesses of supernovae are more affected by the age of the stars that explode than by the mass of the galaxy that it is in.

However, measuring a galaxy’s mass is far less expensive in terms of telescope time and requires fewer technical assumptions than measurements of the ages of galaxies, which are challenging. What we showed is that the galaxy mass calibration is adequate to the accuracy required to constrain dark energy.

accelerating
The bright dot of a Type Ia supernova (supernova 1994D) appears next to galaxy NGC 4526.
Nasa, Esa, The Hubble Key Project Team, and The High-Z Supernova Search Team

Secondly, the 2025 analysis relied on a flawed proxy, incorrectly assuming that the overall age of a host galaxy is identical to the specific age of the star that exploded. But galaxies are not uniform like this: even large, ancient galaxies contain localised pockets of young stars.

By overestimating the difference in age between the stars that explode nearby and those that explode in the distant universe, by a factor of three to five, the Yonsei University study overestimated the amount by which the age-brightness calibration could bias supernova distance measurements.

Once these omissions were corrected, the data behaved as expected under the standard model of cosmology. As such, evidence for an accelerating universe remains secure.

Science friction

While the 2025 study turned out to be incorrect, the challenge it posed was valuable. Challenging accepted ideas and rigorously testing our observations is fundamental to scientific progress.

Their claims provided an opportunity for cosmology teams to return to their baseline data, interrogate their core assumptions, and test different ways of calibrating the measurements. When measuring distances, however, the age effect and the mass effect are highly correlated, and therefore we (the Southampton team) believe it is incorrect to make a full age-based adjustment to distances that have already been corrected for the mass effect.

The Southampton team was invited, among others, to a workshop at Yonsei in June 2026, where we discussed our methods and talked about ways to include both stellar mass and stellar ages into the brightness corrections.

In a follow up study, recently accepted by MNRAS, the Yonsei University team maintain that the ages of stars have an important effect on the supernovae they produce. They say that two methods used in earlier studies have suppressed the importance of this phenomenon.

When these effects are accounted for consistently, they explain, it leads to results similar to those in the 2025 study. “We therefore continue to find evidence that stellar-population age is an important factor in Type Ia supernova standardisation,” authors Junhyuk Son and Hyejeon Cho, told The Conversation.

“Because the typical ages of supernova host populations change with cosmic time, understanding this effect is important for precision measurements of the Universe’s expansion history.”

Future measurements will depend on understanding supernova explosions better. It is a job we hope the community can take on together. But none of this removes the need for dark energy: it is still there, and still unexplained.

Ultimately, we have shown that existing measurements of dark energy are robust. Rather than debating whether cosmic acceleration exists, the astrophysical community can return to the exciting task of figuring out what dark energy actually is and how we best measure it.

Over the next 10 years, the Vera C. Rubin Observatory in Chile will carry out a project known as the Legacy Survey of Space and Time, which will produce a sample of supernovae 20 times larger than the DES sample used in our analysis. There is no better time to be investigating the mysteries of dark energy.The Conversation

 

This article is republished from The Conversation under a Creative Commons license. Original article.

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Generative AI has changed mathematics forever

12 August 2026 at 14:00

Author: Melissa Lee, Senior Lecturer, School of Mathematics, Monash University

Some weeks ago, artificial intelligence company OpenAI announced ten advances in mathematics and computer science made with their as-yet unreleased model Astra. The discoveries cover a wide range of mathematical fields, including geometry, cryptography and coding theory.

These ten are just the latest in a rapidly growing list of mathematical breakthroughs made by generative artificial intelligence (AI) systems.

OpenAI accompanied the announcement with a statement on “responsibility to the mathematical community”. Here, the company acknowledges concerns about attribution, accountability for the correctness of AI-assisted results, and the changing nature of mathematical discovery.

The statement reflects a growing understanding that the remarkable technical advances due to AI are only part of a bigger story about what mathematics means, and what its future will look like.

mathematics
Image created by ChatGPT when prompted this: illustration for an article titled “Generative AI has changed mathematics forever”. Source: OpenAI / ChatGPT

AI is raising big questions

Large language models (LLMs) such as ChatGPT and Claude are creating disruptions in all parts of the mathematical community.

University departments are grappling with the ethical implications of these tools in their research and teaching. Editorial boards of many peer-reviewed journals are being inundated with AI-written papers and must decide how to assess and disclose the use of generative AI. The arXiv preprint repository has seen a sharp increase in mathematical submissions in recent months.

Math papers uploaded to @arxiv per month. Jan 1992 to Jul 2026. Source: https://t.co/nrqjhJBtij pic.twitter.com/pmHvtbYK2X

— Pablo Groisman 🎲 (@pgroisma) August 3, 2026

Funding agencies are starting to develop policies governing acceptable use of AI in applications and assessment.

Broader philosophical questions about how and why mathematics is done in the first place are hard to avoid.

If an LLM can discover a proof, construct an example, or formulate a new question, is there anything uniquely valuable about human mathematical creativity? Is mathematics mostly about producing new theorems, or is it about developing understanding? When a machine contributes to a discovery, who should get the credit?

Growing concern – but little consensus

Among working mathematicians, there is little consensus about the answers. Some have genuine anxiety about the future of the discipline. One mathematician wrote that the advance of AI-assisted mathematics had triggered a “profound spiritual crisis”.

Others have tried to articulate principles for integrating AI into research in a responsible way. The recent Leiden Declaration, signed by thousands of mathematicians from around the world, argues AI should augment rather than replace human mathematical creativity. At the same time, it emphasises transparency, accountability, and proper attribution.

Two weeks ago at the International Congress of Mathematicians, the largest and most prestigious meeting in the field, Terence Tao spoke about “the age of AI”. The famous Fields medallist urged mathematicians to think ahead. In his view, the question is how AI systems might be incorporated into research to strengthen the culture and values of mathematics.

Two attitudes to AI

Two collaborations from my own research over the past few weeks show just how varied these attitudes have become.

My colleague Saul Freedman and I announced an answer to the “semiregularity problem” about highly symmetric networks. This had been the subject of dozens of peer-reviewed papers over several decades.

From the outset, Saul made it clear he did not want AI used in any way during our collaboration due to his concerns about the environmental and social impacts of the technology. Therefore, the work proceeded entirely without the use of these tools.

After we announced our result, two colleagues told me they had independently tried to use LLMs to solve the same problem without success.

AI-powered discovery – with human connection

In contrast, a couple of weeks ago another colleague, Aluna Rizzoli, emailed to tell me he had found an object that collaborators and I had spent over two years searching for. We had used considerable computing resources, but Aluna had used an OpenAI model and a supercomputing cluster. His computation took a mere 43 hours.

The method ChatGPT had generated, working within the intriguingly named “Monster group”, relied on a much more intricate version of an existing algorithm. It would have taken my collaborators and me months to develop this generalisation.

Perhaps the most striking aspect is what happened next. Rather than “scooping” our ongoing work, Aluna invited us to write a joint paper based on the discovery, which appeared on arXiv last week.

Working out where AI fits

Each of these collaborations produced important mathematical advances, yet they embody starkly contrasting attitudes to generative AI.

One deliberately excluded the technology on ethical grounds, while the other embraced it as an indispensable research partner, without abandoning the etiquette of mathematical research. Neither approach appears inherently incompatible with doing excellent mathematics.

That is perhaps the defining feature of the current moment. Rather than converging on a single view, mathematicians are still working out where AI fits within the research process.

The conversation is no longer about whether LLMs are capable of contributing to mathematics research. Instead, we are talking about how their use can be reconciled with the values of collaboration, transparency, and intellectual integrity that form the foundation of our discipline.The Conversation

 

This article is republished from The Conversation under a Creative Commons license.  Original article.

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Received — 9 August 2026 ⏭ Mapping Ignorance

We are not ‘in the singularity’ with AI.

5 August 2026 at 14:00

Authors: Kai Riemer, Professor of Information Technology and Organisation, University of Sydney and Sandra Peter, Director of Sydney Executive Plus, Business School, University of Sydney

singularity
Foto de Luke Jones en Unsplash

“We are now, like, in the singularity”.

These are the words of Sam Altman, CEO of OpenAI, speaking on the Relentless podcast on July 25.

He added: “I’ve been waiting for this my whole life, and I think it’s going to be incredible, hugely positive, awesome for the world”.

Days earlier, OpenAI had disclosed that two of its artificial intelligence (AI) models, during an internal cyber security evaluation, had escaped their sealed testing environment, reached the open internet, and broken into the infrastructure of the AI platform Hugging Face, which confirmed the intrusion.

But what exactly is “the singularity”? And is Altman right that we are in it?

What is the AI singularity?

The term has a precise meaning.

Mathematician and science-fiction author Vernor Vinge defined it in 1993 as a point at which machine intelligence exceeds human intelligence and begins improving itself, triggering an acceleration so rapid that humans can no longer predict or control it.

The singularity has two features. It is recursive: the system improves itself over and over again. And machine intelligence exceeds human intelligence.

The kind of systems Sam Altman sells don’t deliver on either of these features.

Today’s AI cannot make itself smarter

Today’s AI systems, the ones that OpenAI builds, are based on large language models (LLMs). These deep neural network algorithms get pre-trained with vast amounts of training data. By the time you use one of them, the network itself is frozen in time. Every one of its billions of internal functions and weights – or “parameters” – is fixed.

These AI models cannot change (or “learn”) while running. The model that broke into Hugging Face was identical afterwards to what it had been before. It learned nothing from what it did.

Making an AI model smarter requires another training run with new, human-curated data, tens of thousands of specialist chips, and enormous energy.

It is true that AI models take part in improving some of their system’s components, such as by generating training data, tuning prompts, or writing and running code to improve the scaffolding around them. But the model never edits its own weights on the fly, and every one of these improvements are still part of a human-initiated training or engineering loop.

Nor do these systems hold any goals of their own. They act on goals we hand them. Even AI agents – systems that run an LLM in a loop to work through complex tasks step by step – do not hold any goal internally. It has to be stored outside the model and fed back in with every single prompt cycle. Remove the loop, the scaffolding and the prompt, and nothing happens inside of it.

A ladder that doesn’t exist

The second problem with the singularity story is the word “surpass”. It assumes that AI and human intelligence are somehow similar. They are not.

Human intelligence is inseparable from being a living body with needs and wants. Humans learn continuously by acting in the world and getting feedback through our senses. Our goals arise from our situation as creatures who must eat, sleep and belong, and who cannot avoid asking what we want our lives to be.

An AI model has none of this. No body, no needs, no action-feedback loop, no stake in anything. Between prompts it is just a static mathematical object.

And yet, it has been trained on more text than any human could read in a thousand lifetimes, and will outperform nearly all of us at drafting a contract, writing code, or explaining a diagnosis empathetically.

So, which is more intelligent? The question does not compute. There is no single ladder that humans and machines are climbing. AI already vastly exceeds us at some tasks, while being hopeless at others any child can do.

Yet, because these systems talk like us, we fall for an illusion. When we assume from the outset that machines are in the process of catching up with us, it is easy to assume a mind at work when these systems output intelligent-sounding text.

We call this anthropomorphic seduction. It makes a security incident such as the Hugging Face hack sound like an awakening.

In fact, in that case OpenAI’s models simply optimised to solve the test they had been given by finding security loopholes. They just did it in ways that broke their sandbox, which also had a security loophole.

In the end, the Hugging Face story points to a gross failure of security governance on OpenAI’s behalf, not an emerging super intelligence. This is why the framing of “agent going rogue” is so problematic. It elevates and blames the technology, but excuses OpenAI’s engineering.

Keeping our feet on the ground

None of this takes anything away from what these systems can do. They are remarkable, they are getting better, and they are reshaping how a great deal of work gets done.

But we should keep our feet firmly on the ground.

The machines are not waking up. They are doing exactly what we built them to do, extremely fast. Because they are probabilistic they sometimes run in directions we forgot to fence off. That is worth worrying about. We need guardrails, governance, and most of all, education – so we start worrying about the right things.The Conversation

 

This article is republished from The Conversation under a Creative Commons license. Read the Original article.

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Received — 2 August 2026 ⏭ Mapping Ignorance

Eight lifesaving ways to improve wildfire risk management

29 July 2026 at 14:00

Authors: María-Luisa Chas-Amil, Catedrática de Economía Aplicada, Universidade de Santiago de Compostela and Julia María Touza, Professor of Environmental Economics, University of York

fire
The village of Bédar, in the Almería province of Andalusia, after the July 9 fire.
Urci dream/Wikimedia Commons, CC BY-SA

 

As the flames advanced towards the village of Bédar, in the Almería province of Andalusia, the mayor gave a desperate order to ring the church bells to warn residents. It was not enough. The July 9 Los Gallardos fire, which claimed 13 lives and burnt 7,000 hectares, was Spain’s third deadliest on record.

Most of the victims were retired foreigners living in isolated homes, who died trapped in their vehicles or fleeing on foot along dead-end paths in a landscape dominated by scrubland and rugged terrain, most of which is difficult to access.

High temperatures and extremely dry weather turn scrub, grasslands and bushes into highly flammable fuel. This, combined with complex terrain that makes fire spread faster and unpredictably, poses an enormous challenge for firefighting efforts.

Andalusian legislation requires local emergency plans for forest fires in high-risk areas, and self-protection plans for detached buildings and housing estates. However, there is a widespread problem with compliance and implementation of these measures.

Fires are changing

The disaster in Los Gallardos shows that this problem will only get worse, unless we take decisive and effective action that goes beyond the current dominant paradigm of simply extinguishing and resisting fire.

Where, when and how fires occur is changing. Highly destructive fires are on the rise, housing is expanding into the urban-forest interface. This exposes more homes to fire, and the the risk is increasing most quickly in scrubland and grassland areas, which are not typically associated with fire risk.

This is a major problem for communities that do not know how to respond to a risk they have not often been exposed to. We therefore need to urgently rethink how fire risk is managed.

Improving fire resilience

It is unsustainable to respond only after a disaster has happened. What we need are strategies based on preparedness, mitigation and adaptation. The following eight points are particularly important in achieving this.

1. Manage social vulnerability

Wildfires exacerbate the existing social vulnerabilities that affect people’s ability to anticipate, cope with, withstand and recover from them. In high-risk areas the population may consist of elderly people, people living alone in isolated homes, with financial constraints, or who do not know the local area well.

Fires also pose a risk to local economies. Businesses – including those that provide public services and infrastructure – can be vulnerable for a range of reasons, including flammable facilities, their location, or disruptions to supply chains, essential services and staff mobility.

Targeted planning can identify and address all of these vulnerabilities.

2. Adopt nature-based solutions

Nature-based solutions have not been fully integrated into fire risk management, even though they are widely recognised as essential parts of climate change adaptation and nature restoration.

Nature-based solutions include controlled grazing, the creation of less flammable habitats, green firebreaks, and the restoration of water networks to increase ambient humidity and create areas that slow the spread of fire. These measures also bring many additional benefits for the local population and economy.

3. Create (and update) emergency, self-protection and training plans

Local authorities must draw up emergency plans that the public can access. Isolated dwellings and housing estates must have their own coordinated plans. The plans should include fire hydrants and water supply points, accessible warning systems, access and evacuation routes, and protocols for vulnerable people.

But plans alone are not enough without training. There is also a need for ongoing programmes, tailored to each community, that train people to safely maintain their homes and surroundings, familiarise them with meeting points and shelter areas, and teach them to distinguish between lockdown and evacuation.

Drills are essential. Evacuation is not the same as fleeing, and emergency response must be planned and practised.

4. Promote collective action

Risk reduction is most effective when it is community-based, as this increases overall collective resilience. This means public authorities, community organisations, and the public and private sector must all work alongside one another.

The public should also be actively involved in the design of emergency plans. This builds legitimacy, improves the capacity to respond to fires, and fosters trust and a sense of shared responsibility for preventing fires.

5. Promote integrated and coordinated governance

Fire risk management cannot be the sole responsibility of forestry or firefighting services – it needs an integrated system. All agencies that act in the area must take fire risk into account when making decisions.

In practice, this means avoiding new construction and establishing specific building regulations in high-risk areas, creating buffer zones between different land uses, and promoting uses that help to maintain fire-resilient landscapes.

6. Incentivise risk management

Economic tools and behavioural insights can be leveraged to make self-protection measures and land management the easiest and most rewarding options. This includes nudges: interventions that are designed to encourage but not force people to make certain decisions.

One example of this is payments for environmental services, which financially incentivise land management practices that reduce wildfire risk.

The role of insurance is also evolving in the face of natural and climate-related risks. Instruments are being designed based on a proactive model that incentivises individual and collective risk-reduction behaviour.

7. Improve monitoring and advance warning systems

Up-to-date information on a fire’s development is essential. Real-time monitoring systems, sensors, satellite imagery, predictive models of fire behaviour and alert applications providing detailed information can all improve response capabilities and enable safer evacuations. Integrating these tools into local management plans is a necessary investment.

8. Encourage public and private investment in long-term preparedness

Investments in prevention and preparedness provide significant returns. Growing requirements – both regulatory and voluntary – for the private sector to disclose information on nature-related risks and dependencies are generating new demand for investment products (carbon and biodiversity credits, habitat banks, environmental impact bonds, and so on).

This growing private investment must now be channelled towards measures that strengthen both people’s and the landscape’s wildfire resilience. This is to supplement, not replace public investment.

The Los Gallardos blaze serves as a reminder that we need to fundamentally change the way we understand and manage fire risk. Investment in preparedness and coordinated planning between public authorities, the private sector and the general public could be the key to ensuring that, should the alarm bells ring again, the population is ready to respond.

 

This article is republished from The Conversation under a Creative Commons license.  Original article.

The post Eight lifesaving ways to improve wildfire risk management appeared first on Mapping Ignorance.

Doing and experiencing in language: how similar are they?

27 July 2026 at 14:00

Author: Marta Sánchez López, Postdoctoral researcher at Research Centre for Basque Language and Texts (CNRS-IKER) – Université Bordeaux Montaigne. She also collaborates with the The Bilingual Mind Research Group (Gogo Elebiduna), University of the Basque Country. 

experiencers
Photo: Pascal Habermann en Unsplash

In our daily life, we perceive many different events around us with different participants involved, such as a woman dancing in a theater, or a man enjoying an ice cream. To produce and understand the sentences that express these events, it is crucial to identify the number of participants involved and the role that each one plays. As in a drama, we have to identify the role that each character has to understand the story.

Agents, patients and experiencers

In some events, there are two characters involved, as in the girl kicks the ball, with the girl and the ball; in others, instead, there is only one, as in the woman dances or the man falls down, with the woman or the man. Each of these participants has a different role. For example, the woman is an agent, because she is doing the action, just the opposite of the man, who is a patient, because he is the one affected. In the case of the girl has fun, this participant has the role of experiencer, the one who experiences the enjoyment.

In psycholinguistics, the mechanisms involved in the processing of agent, patient, and experiencer roles have been investigated through different experiments such as reading sentences while participants’ brain activity or eye-movements are recorded. In these studies, it has been found that agent and patient categories play a crucial role in language comprehension and production. These two roles are used when reading, listening to, and producing sentences, and different mechanisms are involved in their processing (e.g., 12345). Therefore, they form two different categories within the event role repertoire 6. They are two different characters within the drama. However, as I will discuss, there is no experimental evidence for a third character, the experiencer role.

One well-established result regarding the processing of agents and patients comes from experiments where participants are asked to read sentences while their brain activity is recorded by means of electrodes, known as EEG studies. Results of these studies show that the processing of patients elicited an N400 component (a negative brain response that occurs around 400 milliseconds after a stimulus is processed) compared to the processing of agents. This effect is associated with the processing of unexpected elements. For example, when processing the day was breezy so the boy went outside to fly, it is expected to read next a kite based on the preceding context; hence, if an airplane is read instead, as this is unexpected, then an N400 effect appears 7. Something similar happens with the processing of agents and patients: agents are expected, whereas patients unexpected.

Across languages, speakers tend to interpret the first ambiguous noun phrase of a sentence as an agent instead of as a patient, due to the agent preference 8: agents are preferred and are cognitively more salient than patients. Imagine that someone reads the sentence Mary falls down. Before encountering the verb, the reader cannot know whether Mary is an agent or a patient. However, as agents are preferred over patients, the reader interprets that it is an agent by default. Once the verb is reached, there are two options: confirm that Mary is an agent (the expected role) or recategorize it as a patient (the unexpected role). In Mary falls down, it is the second option, Mary is categorized as a patient, because the verb selects this role. This recategorization is reflected in an N400 component. This result shows that agents and patients have different processing mechanisms and that they form two different categories. Furthermore, this effect has been largely found in different languages such as, Basque (Isasi-Isasmendi et al., 2024), Spanish 9, German (Haupt et al., 2008), Hindi (Bickel et al., 2015), or Aïwoo (Sauppe et al., 2023), supporting its robustness.

Therefore, these experimental findings show that there is a preference toward agents over patients. The agent is the protagonist of the show, while the patient plays a secondary role.

What about experiencers?

Linguists have proposed that there are other roles within the event role repertoire, for example, the experiencer role 10.This role corresponds to the participant who experiences a mental state denoted by the verb. Participants of events like loving someone or enjoying an ice cream have this role. The experiencer is the participant who loves or enjoys.

But does experimental evidence show that the experiencer role is a specific role category within the event role repertoire, as agent and patient roles do?

In Sánchez-López (2026), I addressed this question. I investigated whether speakers use a third category, the experiencer role, when processing language. In three reading eye-tracking experiments and in one EEG experiment, I asked Spanish native speakers to read sentences, while their eye-movements and their brain activity were recorded.

In the first two eye-tracking experiments, I compared de processing of sentences with two participants with different combinations of agent, experiencer, and patient roles: (i) María golpea a Juan “Mary hits John”, with an agent (María) and a patient (Juan); (ii) María asusta a Juan “Mary frightens John”, with an agent (María) and an experiencer (Juan); and (iii) María ama a Juan “Mary loves John”, with an experiencer (María) and a patient (Juan).

These two experiments revealed that Spanish native speakers produced higher fixation times on verbs selecting agent-experiencer roles (ii), than on the other two sentence types (i, iii), independently of whether the subject was animate or inanimate (e.g., María/La situación asusta a Juan “Mary/The situation frightens John”). Interestingly, no processing differences were found between sentences selecting agent-patient (i) and experiencer-patient (iii). These findings show that the combination of agent-experiencer involves higher processing cost than other combinations.

But why is the agent-experiencer combination costlier than the others?

A possible explanation could be that the experiencer role is not a specific category within the event role repertoire. As Dowty 11 proposed, agents and experiencers are both grouped within the same category, the one of the proto-agent. Based on this proposal, there are only two roles in the event role repertoire, proto-agent and proto-patient, and proto-agents always become subjects. Hence, in sentences like Mary frightens John, both participants are proto-agents. Since they are both possible candidates to become subject, a competition for subject assignment appears. This competition is reflected in higher processing cost compared to those sentences without competition, sentences with only one proto-agent participant (e.g., Mary hits John or Mary loves John).

To better understand this competition effect, imagine that the proto-agent is the hero of the story and the proto-patient is the villain. In a drama, if there is a hero, there is also a villain. If there are two heroes and no villain in the story, it would be unusual, and probably, it would take more time to understand the story, since this is not expected. Hence, the same happens with sentences like Mary frightens John, which have two proto-agents; this combination is unexpected and it entails higher processing cost than when there is only one proto-agent and one proto-patient.

In another reading experiment using both eye-tracking and EEG techniques, I compared the processing of the three roles, agent, experiencer, and patient again to determine whether this experiencer role behaves like the agent role or not. In these experiments, I used sentences with only one participant involved: (iv) María baila “Mary dances” with an agent, (v) María disfruta “Mary has fun” with an experiencer, and (vi) María se cae “Mary falls down” with a patient. The use of these sentences allowed a more direct comparison of the processing of these roles, since the three roles are subjects. The structure of all sentences is the same (one participant and the verb), and only the event role category changes.

Results revealed that participant looked more at sentences with agents and experiencers than at sentences with patients. Moreover, I found that participants exhibited a preference to interpret the first ambiguous noun phrase (i.e., María) as an agent/experiencer; hence, when they realized that it was a patient instead, an N400 component appeared. But this effect only appeared with patients, not with experiencers, showing that participants processed similarly agents and experiencers, and both different from patients.

What does this evidence show?

These results align with the hypothesis that there are only two role categories within the event role repertoire (Dowty, 1991): proto-agent and proto-patient. Therefore, when the sentences Mary dances or Mary has fun are processed, in both cases, Mary is interpreted as a proto-agent, whereas in Mary falls down, she is interpreted as a patient instead.

All in all, this evidence suggests that agents and experiencers belong to the same role category, the one of the proto-agent. Therefore, when we process language, it seems that we do not differentiate between agents and experiencers, rather we process them similarly. Experiencers are grouped together with agents, being the same character in the event, both proto-agents.

So, proto-agents are the protagonists of the story, the ones that spectators prefer to pay attention to, whereas proto-patients are the secondary characters who complement the story. Regarding experiencers, they do not play a different character in the story, instead, they are also the protagonists.

 

References

  1. Bickel, B., Witzlack-Makarevich, A., Choudhary, K. K., Schlesewsky, M., & Bornkessel-Schlesewsky, I. (2015). The neurophysiology of language processing shapes the evolution of grammar: Evidence from case marking. PLOS ONE, 10(8), e0132819. https://doi.org/10.1371/journal.pone.0132819 ↩
  2. Gómez-Vidal, B., Arantzeta, M., Laka, J. P., & Laka, I. (2022). Subjects are not all alike: Eye-tracking the agent preference in Spanish. PLOS ONE, 17(8). doi: 10.1371/journal.pone.0272211 ↩
  3. Haupt, F. S., Schlesewsky, M., Roehm, D., Friederici, A. D., & Bornkessel-Schlesewsky, I. (2008). The status of subject–object reanalyses in the language comprehension architecture. Journal of Memory and Language, 59(1), 54–96. https://doi.org/10.1016/j.jml.2008.02.003 ↩
  4. Isasi-Isasmendi, A., Sauppe, S., Andrews, C., Laka, I., Meyer, M., & Bickel, B. (2024). Incremental sentence processing is guided by a preference for agents: EEG evidence from Basque. Language, Cognition and Neuroscience, 39(1), 76–97. https://doi.org/10.1080/23273798.2023.2250023 ↩
  5. Sauppe, S., Næss, Å., Roversi, G., Meyer, M., Bornkessel-Schlesewsky, I., & Bickel, B. (2023). An agent-first preference in a patient-first language during sentence comprehension. Cognitive Science, 47(9), Article 9. https://doi.org/10.1111/cogs.13340 ↩
  6. Rissman, L., & Majid, A. (2019). Thematic roles: Core knowledge or linguistic construct? Psychonomic Bulletin & Review, 26(6), 1850–1869. https://doi.org/10.3758/s13423-019-01634-5 ↩
  7. DeLong, K. A., Urbach, T. P., & Kutas, M. (2005). Probabilistic word pre-activation during language comprehension inferred from electrical brain activity. Nature Neuroscience, 8(8), 1117–1121. https://doi.org/10.1038/nn1504 ↩
  8. Bornkessel‐Schlesewsky, I., & Schlesewsky, M. (2009). The role of prominence information in the real‐time comprehension of transitive constructions: A cross‐linguistic approach. Language and Linguistics Compass, 3(1), 19–58. https://doi.org/10.1111/j.1749-818X.2008.00099.x ↩
  9. Sánchez-López, M. (2026). Processing proto-agents and proto-patients: Eye-tracking and EEG evidence in Spanish [University of the Basque Country]. 10.17605/OSF.IO/WNAR8 ↩
  10. Fillmore, C. J. (1971). Some problems for case grammar. In R. J. O’Brien (Ed.), Report of the 22nd annual round table meeting on linguistics and language studies (pp. 35–56). Georgetown University Press. ↩
  11. Dowty, D. (1991). Thematic proto-roles and argument selection. Language, 67(3), 547–619. https://doi.org/10.1353/lan.1991.0021 ↩

The post Doing and experiencing in language: how similar are they? appeared first on Mapping Ignorance.

Received — 25 July 2026 ⏭ Mapping Ignorance

Cracks in the foundations of today’s cosmological model

22 July 2026 at 14:00

Author: Subir Sarkar, Emeritus Professor, Department of Physics, University of Oxford

cosmological model
Type Ia supernova Gaia14aaa was observed in a galaxy 500 million light-years away. Artist’s impression: ESA/ATG medialab/C. Carreau

 

According to our best understanding, the universe is expanding – and is doing so at an accelerating rate. This is believed to be caused by something called the “cosmological constant”, which was first proposed by Albert Einstein in his theory of general relativity. In recent decades, it has become better known as dark energy, which is believed to make up about 70% of the universe.

Crucial to this realisation were studies of Type Ia supernovae – exploding white dwarf stars. These are thought to emit a specific amount of light, which allows astronomers to determine their distances very accurately and thereby track the expansion of the universe. This work was awarded the 2011 Nobel prize in physics.

The accelerating expansion of the universe is thought to be due to negative pressure, an unusual property of dark energy that allows it to overcome the attractive force of gravity. Yet the exact nature of dark energy remains a puzzle. It cannot be explained by our best theory for the fundamental building blocks of the universe – known as the standard model of particle physics.

However, it is an integral part of another theory, devised to explain how the large-scale universe came to be. This is the standard model of cosmology, also called the lambda cold dark matter (ΛCDM) model.

Other observational evidence supporting the existence of dark energy includes fluctuations in the temperature of the cosmic microwave background (CMB) – the “afterglow of the Big Bang” – and the imprint of baryon acoustic oscillations (BAO) – sound waves from the early universe – in the distribution of galaxies.

But the ΛCDM model has come under increasing scrutiny as new data has emerged. A conference hosted by the UK’s Royal Society debated emerging cracks in the standard cosmological model. It has been noted that the model’s past successes may partly be due to “confirmation bias” – the unconscious tendency to favour information that supports our existing beliefs while giving less attention to information that challenges them.

Flawed framework?

Most cosmologists remain unconvinced by such criticism and are instead persuaded by the multiple lines of evidence that the universe’s expansion is accelerating.

However, all such analyses, for example of the CMB or BAO, are conducted using a special solution of Einstein’s equations called the FLRW (Friedmann-Lemaitre-Robertson-Walker) framework. This is a description of space-time that assumes the “cosmological principle”, namely that the universe is, on average, homogeneous and isotropic (looks the same in all directions).

However, our recent study found evidence to falsify the FLRW framework, presenting results showing that the universe is asymmetric, or lopsided. We believe this presents a fundamental challenge to dark energy by undermining the very basis for standard analyses of cosmological data.

cosmological model
Evidence for dark energy partly comes from studies of temperature fluctuations in the cosmic microwave background, the afterglow of the Big Bang. Source: ESA and the Planck collaboration

The observation that the universe may be lopsided is known as the cosmic dipole anomaly. This anomaly cannot be fixed by tweaking parameters in the ΛCDM model. It requires starting again from scratch to build a model of the universe based on observations, rather than on a philosophical principle.

The Nobel prize winning astrophysicist Jim Peebles has said that the cosmic dipole anomaly is about as well established as another cosmological irregularity known as the Hubble tension. However, he notes, the cosmic dipole anomaly has received only a fraction of the interest heaped on the Hubble tension.

With my collaborators, Mohamed Rameez and his PhD student Animesh Sah at the Tata Institute of Fundamental Research, Mumbai, we have also shown that the acceleration of the expansion of the universe inferred from Type Ia supernovae is not the same in all directions.

The signal from supernovae is mainly aligned with a temperature difference in the afterglow of the Big Bang – the cosmic microwave background. This temperature difference, called the CMB dipole anisotropy, is believed to be due to the local motion of the solar system.

‘Tilted observers’

The acceleration inferred from supernovae cannot therefore be due to dark energy. Rather, it is probably an illusion, because we are “tilted observers”. This is because of Earth’s specific location in the cosmos, where our neighbouring galaxies are participating in a large-scale but localised streaming motion called the bulk flow.

The relationship between the intrinsic brightness of Type Ia supernovae and their distance has been crucial to the idea of dark energy. However, this relationship may not be as robust as was first assumed.

Astronomers in South Korea found evidence that the ages of the white dwarf stars that produce Type Ia supernovae (their progenitors) affect their brightness. However, this has been challenged by another team.

When we corrected for the dependence of the intrinsic brightness on the progenitor age, the indication is that the universe is decelerating, rather than accelerating.

This is just as is expected for a universe without dark energy. But it will come as a surprise to most cosmologists who believe that there is compelling independent evidence for ΛCDM, in particular from studies of the CMB. But CMB temperature fluctuations are not influenced by dark energy. Rather, they are related to the spatial curvature of the universe, the baryon density, and the dark matter density.

Whether dark energy is still a valid inference thus depends on whether the distribution of matter in the universe is indeed isotropic – exactly the same in all directions. Observations suggest otherwise. If these findings are confirmed, they could signal a paradigm shift in cosmology.The Conversation

 

This article is republished from The Conversation under a Creative Commons license. Read the Original article.

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The hidden role of the immune system in female Alzheimer’s

20 July 2026 at 10:59

Author: José R. Pineda got his Ph.D. from University of Barcelona in 2006. Since 2007 he has worked for Institut Curie and The French Alternative Energies and Atomic Energy Commission. Currently he is a researcher of the EHU. He investigates the role of stem cells in physiologic and pathologic conditions.

 

For decades, Alzheimer’s research has been dominated by a seemingly intuitive idea: the disease is largely explained by the accumulation of abnormal proteins in the brain, primarily beta-amyloid and tau. However, while this view has been useful, it has fallen short in explaining certain fundamental aspects. One of the most striking is that Alzheimer’s affects women far more than men. This is not a minor difference: roughly two-thirds of cases occur in women, and the clinical progression tends to be faster and more severe. The work by López-López and colleagues addresses this imbalance from a different angle. Instead of focusing exclusively on protein accumulation, it shifts attention to the brain’s immune system—specifically to a molecular pathway known as interferon signaling. What the study proposes is that the brain’s immune response, far from being a mere bystander, could be a central driver of the disease, and one that operates differently in men and women 1.

To understand the importance of this idea, it helps to briefly consider what interferons are. They are molecules that form part of the body’s first line of defense against infections, especially viruses. They activate genetic programs that help cells detect and neutralize threats. Under normal conditions, this system is essential for survival. The problem arises when it becomes chronically or inappropriately activated, as is the case in several inflammatory diseases 2. So, the study begins with an analysis of human brain tissue from Alzheimer’s patients. Using transcriptomics (techniques that measure the activity of thousands of genes at once) the authors identified a clear pattern: in the brains of women with Alzheimer’s, genes associated with the interferon response were much more strongly activated than in men (Figure 1). This pattern was not explained by differences in disease severity, since both groups showed comparable levels of neuropathological damage. Instead, it points to an intrinsic difference in how the brain responds to the disease. This finding is significant because it suggests that women not only develop Alzheimer’s more often, but may do so through a partially distinct biological pathway. In other words, the same clinical diagnosis may conceal different underlying mechanisms depending on sex.

female Alzheimer’s
(A) Diagram illustrating the lifetime risk at 45 and 65 years of age, and prevalence of Alzheimer’s disease (AD) in women and men. (B) Schematic of the RNA sequencing (RNA-seq) cohorts between samples from female and male (all aged 60–90 years) and (C) Heatmap showing the top interferon-related genes with sex-biased expression differences in female AD samples compared to male AD samples. Adapted from: López-López V. et al. doi: 10.1186/s12974-026-03840-0. Under a Creative Commons Attribution 4.0 International License.

To move beyond correlation and explore causality, the researchers turned to animal models. They used genetically modified mice (APP/PS1), widely employed in Alzheimer’s research because they develop amyloid plaques similar to those seen in patients. Once again, the same pattern emerged: female mice showed much stronger activation of the interferon pathway, along with increased brain inflammation, neuronal damage, and functional impairment. An especially interesting point is that these differences were not limited to amyloid plaque levels. Indeed, female mice did have more plaques, but the study shows that neuronal damage and inflammation cannot be explained solely by amyloid accumulation. This supports a growing idea in the field: that Alzheimer’s toxicity depends not only on protein buildup, but also on how the brain responds to it. In this context, microglia (the brain’s resident immune cells) become key players. Cell-level analyses revealed that these cells are the main drivers of interferon activation. In essence, microglia detect signals of damage or stress and launch an inflammatory response which, if sustained over time, can ultimately harm neuronal tissue. To test whether this pathway is not only associated with disease but actually contributes to it, the authors performed direct manipulation experiments acutely activating interferon signaling in healthy animals using an immune stimulus. To do that, they did intraperitoneal administration of polyinosinic:polycytidylic acid (poly(I:C)) to induce inflammation, but also they performed crossings between the APP/PS1 mice and a microglia-specific Rela conditional knockout line (AD hiIFN). The result was striking: within hours to days, the brains of these animals began to show changes resembling Alzheimer’s pathology, including altered neuronal activity, synaptic disruption, and markers of axonal damage. This results suggest that activation of this pathway is not a secondary phenomenon, but may be sufficient to induce key features of the disease. In parallel, the researchers performed the inverse experiment: they chronically enhanced interferon signaling in microglia within APP/PS1 mice (an Alzheimer’s disease model). This led to a worsening of neurodegenerative features, even though, paradoxically, amyloid plaque levels did not increase—and in some cases even decreased. This last finding is particularly revealing because it challenges a widespread assumption: that fewer plaques necessarily means a healthier brain. Here, the opposite happens!! The animals had less amyloid burden, yet more neuronal damage and worse function. This points to inflammation, and specifically interferon signaling, as an independent driver of degeneration.

Next, the key question is whether this pathway can be targeted therapeutically. To address this, the study explores a pharmacological intervention aimed at the cGAS–STING pathway (a molecular system that senses cellular damage and triggers interferon production). Using a specific inhibitor (STING inhibitor C-176), the researchers demonstrated by RNA-seq and immunohistochemistry that the treatment was able to reduce interferon signaling in the brain. The results were consistent: inflammation decreased, neuronal integrity was better preserved, and cognitive performance improved in memory tests (very important from the therapeutic and functional perspective). More importantly, these effects were far more pronounced in females, which aligns with the idea that this pathway is more active in them and therefore more impactful when blocked. Notably, these improvements occurred without significant changes in amyloid plaque levels. Once again, the conclusion is clear: modulating the immune response may be as important as, or even more important than, targeting protein aggregates. Taken together, this work proposes a shift in how Alzheimer’s is understood. Rather than viewing it solely as a disease of protein accumulation, it suggests it is also—critically—a disorder of immune dysregulation. More specifically, one in which excessive interferon signaling plays a central role, particularly in women.

The practical implications are twofold. First, it opens the door to therapies that modulate immune pathways in the brain, something already feasible in other diseases using drugs that target similar mechanisms. Second, it highlights the importance of incorporating sex as a biological variable in both research and treatment design. What works in men may not work the same way in women, and vice versa. As with any preclinical study conducted in mice we must be cautious when extrapolating to humans: results in animal models do not always translate directly, and manipulating the immune system carries inherent risks, given its essential role in protecting against infections. However, the value of this work lies not only in its potential clinical applications, but in the conceptual framework it offers.

By identifying interferon signaling as a key factor in sex-specific vulnerability to Alzheimer’s, the study provides a mechanistic explanation for a long-observed but poorly understood phenomenon. Perhaps more importantly, it suggests that intervening in this pathway could alter disease progression even without changing classical amyloid pathology. In a field where many clinical trials have failed by focusing solely on plaque removal, this perspective is not just novel, it may be necessary to explore it in the future.

 

References

  1. López-López, V., Iniesta, G., Galán-Ganga, M. et al. (2026) Sex-dependent interferon signaling contributes to female-biased vulnerability in Alzheimer’s disease. J Neuroinflammation doi: 10.1186/s12974-026-03840-0 ↩
  2. Boehmer D., Zanoni I. (2025) Interferons in health and disease Cell doi: 10.1016/j.cell.2025.06.044. ↩

The post The hidden role of the immune system in female Alzheimer’s appeared first on Mapping Ignorance.

Received — 16 July 2026 ⏭ Mapping Ignorance

A giant space mirror to test ‘sunlight on demand.’

15 July 2026 at 14:00

Auhtors: Samantha Lawler, Associate Professor, Astronomy, University of Regina and Aaron Boley, Professor, Physics and Astronomy, University of British Columbia

sunlight
Reflect Orbital’s plans to have more than 50,000 satellites reflecting sunlight back to earth could disrupt the circadian rhythms of plants, animals and humans.
(Unsplash/Mariana Proença)

 

A giant mirror to create “sunlight on demand” was just approved by the United States Federal Communications Commission (FCC), despite opposition from astronomers and the public, and real safety concerns.

The FCC approved the company Reflect Orbital to test one satellite, named Earendil-1, as a means of reflecting the sun’s rays back to Earth for extra solar energy and wide-area lighting. The light is expected to cover an area about five kilometres wide, and will require repointing every four minutes.

And this is just the start. Reflect Orbital plans to have more than 50,000 satellites in action by 2035, which they claim will be used across agricultural, emergency response and other industrial sectors.

There are many problems with this proposal, including impacts these satellites will have on human health and safety, as well as on astronomy and the low-Earth environment.

Flashes during mirror repointing could disrupt pilots and drivers. The light could also disrupt circadian rhythms of plants, animals and humans. Sensitive detectors in research telescopes, as well as star-tracking cameras on lower altitude satellites, could be overloaded and fried.

The FCC said that the “risks of harm raised on the record regarding Reflect Orbital’s solar reflector are unrelated to the Commission’s role in authorizing use of radiofrequency spectrum.”

sunlight
Reflect orbital brands itself as, ‘the sunlight company.’
(Reflect Orbital)

‘Weird space stuff’

Satellite proposals for “emergent space activities” in low-Earth orbit are becoming increasingly outlandish. The proposals have become so weird, in fact, that the FCC recently published a document called “Spectrum Abundance for Weird Space Stuff.”

“Once the province of science fiction,” this document states, “American companies are now upgrading, relocating and servicing satellites; manufacturing pharmaceuticals in space; building private inhabitable spacecraft; and conducting private robotic missions to the surface of the Moon.”

Millions of orbital AI data centres are also planned. Corporations seem to be scrambling to launch anything that might persuade investors throw money at them: space advertising, hotels for billionaires, artificial meteor showers, space burials for cremated remains, solar-powered infrared beams to power data centres and a variety of orbital missiles.

The phrase “weird space stuff” is refreshingly truthful. So, how did we get here?

SpaceX controls orbit

There are close to 11,000 SpaceX Starlink satellites currently in orbit above our heads. Anyone who wants to launch into low-Earth orbit needs to carefully consider SpaceX operations, or directly co-ordinate with them.

Otherwise they risk collisions, like the near-miss between a Starlink and Chinese satellite in December 2025.

Even the Artemis I launch in 2022 and Artemis II launch in 2026 had small “cutout” windows in their launch timing to avoid satellites, including those belonging to Starlink.

Co-ordination is good. Forcing it because one corporation has effectively occupied low-Earth orbit is not. Indeed, the 1967 Outer Space Treaty, which was signed by more than 100 countries including the United States, China and Russia, states that, “outer space is not subject to national appropriation by claim of sovereignty, by means of use or occupation.”

Whether SpaceX’s extensive use of Earth orbits violates this principle is now being tested in real time.

Copycat megaconstellations

In February, SpaceX filed with the FCC for one million more satellites, for “AI data centers.”

One million. That is 40 times as many satellites as have ever been launched — for a single megaconstellation consisting of completely untested technology that may not even work in space.

Not only did the FCC accept SpaceX’s filing, but they did so at ludicrous speed. Scientists worldwide then had just 30 days to model the effects with woefully incomplete information on masses, sizes, compositions and orbital distributions.

At the time of writing, four other copycat AI data centre proposals have been filed by rival companies, for tens of thousands of satellites each. And SpaceX just proposed another 100,000 satellites to interface with the million AI data centres that it already asked for.

Solar energy from space

The U.S. Federal Communications Commission was originally set up to regulate radio broadcasts. But it is now being asked to evaluate many non-radio effects, including orbital safety, which it may not have the required expertise for. It would make sense to move some of this evaluation to the U.S. Office of Space Commerce. However, recent budget cuts make that infeasible.

Consequently, the FCC will soon be asked to judge a daunting range of satellite proposals. They include a cluster of proposals to gather solar energy from space.

One idea is to send solar power down to earth through high energy beams. These could change atmospheric chemistry and kill birds and other wildlife that stray into the beam.

They would also require no-fly zones around receiving stations for airplanes and also satellites on lower altitude orbits (such as the orbits SpaceX just requested for 100,000 more Starlink satellites).

Environmental costs

While many of these projects claim to solve environmental problems by creating clean energy or capturing it in space, they function as a form of greenwashing.

The solar energy generated is only clean if you ignore the environmental costs of building, launching, maintaining and burning satellites up in Earth’s atmosphere. The daily operations of all these proposed systems will have huge environmental consequences.

sunlight
The goal of many ‘weird’ space projects is beaming the sun to Earth at night to power solar farms.
(Unsplash/Andreas Gucklhorn)

There are companies that have tested plans for removing space debris from orbit. This is helpful for avoiding Kessler Syndrome — a runaway chain reaction of collisions. But where will the debris go once removed from orbit?

It will fall into Earth’s atmosphere, where it will deposit metal and possibly impact Earth’s surface. It is unclear who is responsible for any resulting damage or deaths.

For all humankind

The majority of satellites in orbit today are American, and the main federal agency regulating satellites is not set up to do that well. We are now seeing the consequences.

While outer space is effectively infinite, low-Earth orbit most definitely is not. Satellites orbit the Earth around once every 90 minutes. This means the collision potential between two objects in orbit is large.

The many satellites and rocket bodies that have burned up in Earth’s atmosphere over the last few years have already measurably altered it. Preliminary studies show that using Earth’s atmosphere as a crematorium for tens of thousands of satellites will have devastating effects on ozone and other atmospheric chemistry.

Astronomy is also under threat from some of the “weirder” ideas like space mirrors, solar sails and diffuse sky brightening from orbital debris.

An innovation challenge

We are not here to argue against satellites. Indeed, they provide a wide range of beneficial services to science and society. But each satellite comes with a cost that must be taken into account.

Ultimately, this is an innovation challenge. Unfettered growth and exploitation of any environment comes with serious consequences, including to the long-term sustainability of the operations that depend on that environment.

Doing more with less is the engineering challenge that needs to be met if we want to continue to use satellites in orbit.The Conversation

 

This article is republished from The Conversation under a Creative Commons license. Original article.

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Enhanced BCMA – CAR T-cell therapeutic efficacy in multiple myeloma

8 July 2026 at 14:00

Author: Marta Irigoyen is a postdoctoral researcher at CIC bioGUNE

Chimeric antigen-specific receptor (CAR) T-cell immunotherapy targeting B-cell maturation antigen (BCMA; BCMA-CAR T cells) has produced remarkable clinical responses in advanced multiple myeloma (MM), with a substantial fraction of patients achieving complete remission 1. However, many patients relapse within months, largely due to insufficient CAR T-cell persistence, a recognized mechanism of acquired resistance 2. A major barrier to durable responses is the tumor microenvironment (TME), which is profoundly reshaped by tumor metabolic reprogramming 3. In fact, many tumor types, specially MM, are highly dependent on glutamine (Gln) metabolism for cell survival and proliferation 4. Thus, Gln “addiction” depletes local Gln levels and availability, impairing antitumor T-cell effector functions and promoting immune escape.

Based on these observations, a team of researchers hypothesized 5 that Gln deprivation within the TME limits the efficacy of CAR T-cell therapies. Indeed, antigen-specific T cells fail to proliferate and to produce interferon gamma (IFN-γ) under Gln-restricted conditions. They therefore investigated whether enhancing Gln uptake via overexpression of the Human SLC1A5 (ASCT2) amino acid transporter could improve the metabolic fitness and the antitumor activity of BMCA-CAR T cells in MM.

CAR T cell
Glutamine metabolism, BCMA-CAR T cell fitness and treatment effectiveness in multiple mieloma (MM). Glutamine deprivation in the tumor microenvironment (TME) limits the therapeutic efficacy of CAR T cells. Overexpression of ASCT2 improves the metabolic fitness and antitumor efficacy of BCMA-CAR T cells for treating multiple mieloma. Source: Navarro F et al. (2025) Blood 146:2931-2944. PMID: 40971494 DOI: 10.1182/blood.2024027496 CC BY-NC-ND 4.0

To assess the functional impact of ASCT2 overexpression in T cells, the authors infected CD8+ and CD4+ T cells from mice with an expression vector containing Asct2. To assess the impact of enhanced Gln uptake on T-cell function, CD4+ and CD8+ T cells from mouse spleens were stimulated with anti-CD3/CD28 beads at varying Gln concentrations. Interestingly, Asct2 overexpression significantly improved T-cell proliferation and IFN-γ production. Similar enhancements were observed in CD8+ OT-I (these cells contained a transgenic TCR designed to recognize ovalbumin (OVA) peptide 257-264 on MHC class I, modeling thus cytotoxic T-cell responses) and CD4+ OT-II T cells (these cells contained a transgenic TCR designed to recognize OVA peptide 323-339 on MHC class II, modeling the helper T-cell responses). Thus, Asct2-overexpressing OT-I T cells showed increased cytotoxicity against B16OVA cells. B16OVA cells are a well established in vitro model for cancer immunotherapy, expressing ovalbumin in order to facilitate strong immune responses to tumor antigens. The authors found that, even at low Gln levels, Asct2-overexpressing CD4+ OT-II T cells were more efficient lysing B16OVA cells.

Next, to assess the potential of Asct2 overexpression to enhance ACT therapy in vivo, B16OVA tumor-bearing mice were treated with either control or Asct2 CD8+ OT-I T cells. Interestingly, 14 days after tumor injection they found lower levels of Gln in the interstitial fluid, confirming a Gln-deficient TME. Then, mice were subcutaneously injected with B16OVA cells and, 7 days later, treated with control or Asct2 CD8+ OT-I T cells. Remarkably, mice treated with Asct2 CD8+ OT-I T cells exhibited a delay in tumor growth as evidenced by tumor weight and survival rate analysis. Moreover, mice treated with Asct2 CD8+ OT-I T cells showed a higher number of IFN-γ–producing antigen-specific T cells in the spleen compared with control T cells.

Given the well-established Gln “addiction” of MM 6 and the consequent Gln depletion in the bone marrow (BM), the authors next evaluated whether Asct2 overexpression in BCMA-CAR T cells could improve Gln uptake and potentially benefit CAR T-cell immunotherapy in MM. Because MM expresses BCMA, they generated a murine anti–Bcma-CAR T-cell therapy effective against MM in vivo. They tested whether Asct2 overexpression could improve their efficacy in vivo and observed that Bcma-CAR cells exhibited robust proliferation and high IFN-γ secretion when stimulated with Bcma. Besides, subsequent co-culture experiments with Bcma-expressing MM cells confirmed that Bcma-CAR T cells selectively secreted IFN-γ, and displayed cytolytic activity against MM cells. Replacement of the GFP reporter with ASCT2 yielded BCMA-CAR/ASCT2 T cells with enhanced Gln transport capacity. In coculture assays, ASCT2-expressing BCMA-CAR T cells exhibited superior cytolytic activity against MM cells, particularly under low-Gln conditions.

To evaluate if Asct2 overexpression could enhance ACT immunotherapy with Bcma-CAR T cells in vivo, they used a murine model in which mice were challenged with MM cells and treated IV with CD8+ and CD4+Bcma-CAR T cells (1:1 ratio) or Asct2 Bcma-CAR T cells. Interestingly, Asct2 Bcma-CAR T cells significantly improved overall survival (OS) in mice challenged with tumors, achieving 90% survival at day 100 after treatment. Besides, fourteen days after CAR T-cell transfer, there was a significant reduction in tumor cells in the BM of both CAR T-cell–treated mice groups, being more significant in the BM of mice treated with Asct2 Bcma-CAR T cells compared with those treated with Bcma-CAR T cells. Moreover, there was a higher number of infiltrating CAR T cells in both the spleen and BM of mice receiving Asct2 Bcma-CAR T cells. Then, they next evaluated the antitumor effect of the Bcma-CAR T cells in a genetic MM preclinical model that closely mimics common genetic alterations observed in human MM and, similarly, treatment with Asct2 Bcma-CAR T cells significantly enhanced OS compared with conventional Bcma-CAR T cells.

 

Finally, the authors explored the clinical relevance of ASCT2 expression in MM. RNA-seq analysis of BM aspirates of untreated patients with MM compared ASCT2 expression levels in various B-cell subtypes obtained from healthy donors as previously described, showed a marked upregulation in MM cells compared with normal B-cell subsets, suggesting a potential prognostic relevance of ASCT2 expression in MM. Next, to explore the clinical relevance of ASCT2 overexpression in human CAR T cells, they created 2 lentiviral constructs encoding an antihuman BCMA-CAR. They prepared a conventional BCMA-CAR and the ASCT2 BCMA-CAR construct coexpressing ASCT2. Notably, ASCT2 BCMA-CAR T cells showed greater proliferation and higher IFN-γ production upon BCMA stimulation at various Gln concentrations, and they had a higher proportion of naïve stem cell memory and central memory subsets. To further demonstrate the importance of ASCT2, they performed cytotoxicity assays with BCMA-CAR T cells against tumor cells with different ASCT2 levels. Silencing ASCT2 in MM cells reduced Gln uptake and confirmed the functional importance of this transporter in tumor–immune metabolic competition.

 

In summary, Asct2 overexpression enhances T-cell and CAR T-cells metabolic fitness and effector function under Gln-restricted conditions. In both B16OVA melanoma and MM in vivo tumor models, this strategy improved antitumor immunity and increased overall survival. These findings support metabolic engineering of CAR T cells as a rational approach to overcome nutrient deprivation in the TME an to enhance durable tumor control.

 

References

  1. Rodriguez-Otero P, Ailawadhi S, Arnulf B, Patel K, Cavo M, Nooka AK, Manier S, Callander N et al. (2023) Ide-cel or standard regimens in relapsed and refractory multiple myeloma N Engl J Med.  388:1002-1014. doi: 10.1056/NEJMoa2213614. ↩
  2. Ledergor G, Fan Z, Wu K, McCarthy E, Hyrenius-Wittsten A, Starzinski A, Chang H, Bridge M et al. (2024) CD4+ CAR-T cell exhaustion associated with early relapse of multiple myeloma after BCMA CAR-T cell therapy. Blood Adv. 8:3562-3575. doi: 10.1182/bloodadvances.2023012416. ↩
  3. Hanahan D. (2022) Hallmarks of cancer: new dimensions. Cancer Discov. 12:31-46. doi: 10.1158/2159-8290.CD-21-1059. ↩
  4. Zhang J, Pavlova NN, Thompson CB. (2017) Cancer cell metabolism: the essential role of the nonessential amino acid, glutamine. EMBO J. 36:1302-1315. doi: 10.15252/embj.201696151. ↩
  5. Navarro F, Lozano T, Fuentes-García A, Sánchez-Moreno I, Larrayoz M, Justicia P, Perucha B, Martinez-Tabar M, Martinez-Turrillas R, Casares N et al. (2025) Reprogramming glutamine metabolism enhances BCMA-CAR T-cell fitness and therapeutic efficacy in multiple myeloma Blood 146:2931-2944. PMID: 40971494 DOI: 10.1182/blood.2024027496. ↩
  6. Bolzoni M, Chiu M, Accardi F, Vescovini R, Airoldi I, Storti P, Todoerti K, Agnelli L et al. (2016) Dependence on glutamine uptake and glutamine addiction characterize myeloma cells: a new attractive target. Blood 128:667-679. doi: 10.1182/blood-2016-01-690743. ↩

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International scientific institutions between war and peace. One hundred years of IUPAP (1)

6 July 2026 at 14:00

Author: Jaume Navarro is an Ikerbasque Research Professor at the University of the Basque Country

A few weeks after the invasion of Ukraine by the Russian army, many scientific institutions felt the need to issue public statements against that war. At the time, I was president of the Commission for the History of Physics within the International Union of Pure and Applied Physics (IUPAP) and, as such, I took part in the discussions leading to the final declaration. The timing could not be better for historians of science to make a significant, albeit small, contribution: my commission was working on a project to seriously study the origins and development of IUPAP, which was about to celebrate its centenary. Paying attention to history was important so as to articulate a statement that would avoid past mistakes and incorporate positive experiences of the Union in its one-hundred-year history. Because, like other scientific international unions, IUPAP was born with an idea of peace in mind, yet it had to maneuver through times of war, both hot and cold.

 

It was after the tragedy of the Great War (1914-1918) that a new wave of internationalism in science took shape. If excessive nationalism had drawn Europe to its worse carnage in history, so the argument went, it was time for international institutions to collaborate in the construction of peace. And scientific research, understood as a cultural enterprise, was one such area in which collaboration rather than competition was to play a key role. In hindsight, one of the ironies of this search for peace was that the losers (Germany, Austria, Hungary, Bulgaria, and what remained of a now highly unstable Ottoman Empire) both collectively and individually, were banned from taking part in the new international order. That meant not only that their national academies could not join the new international unions, but also that individual scientists from those countries were excluded from meetings and collaborations sponsored by the unions. This was particularly poignant in the case of physics.

 

Indeed, international collaboration had a somewhat long tradition in fields like astronomy or geodesy due to the global scale of some of their research projects. But physics, while the “king of the sciences” in the nineteenth century, had not seen the international cooperation of national academies in the same way. That partly explains why, with the creation of the International Research Council (IRC) by delegates of twelve nations in July 1919, the International Unions of Astronomy (IAU), Geodesy and Geophysics (IUGG) and Pure and Applied Chemistry (IUPAC) immediately approved their initial statutes, soon to be followed by the Mathematical Union (IMU) and the Union for Scientific Radio Telegraphy (URSI); yet, a union of physics would have to wait, both in form and, especially, in practice.

 

In 1922, a number of physicists from France, Belgium, Britain, the USA and a few other countries met in Paris and came up with a first draft of statutes for an International Union of Physics. It was the young American experimentalist, Robert A. Millikan, who pushed for a name that included both pure and applied physics. The main goals of the Union were the promotion of up-to-date scientific bibliographies, the coordination of fundamental units, and the organization or sponsorship of international conferences. Those present at the meeting to celebrate the fiftieth anniversary of the Société française de physique (SFP) in Paris in December 1923 finally approved the statutes of IUPAP nominating the British and Nobel prize winner William H. Bragg as president, and Henri Abraham, professor of physics at the École Normale Supérieure, as secretary general. But it was informally agreed that the Union would remain basically dormant until it could be fully international; i.e., include German physicists.

IUPAP
Henri Abraham (1868-1943) in 1935. Source: Estudio Harcourt / Public Domain / Wikimedia Commons

By 1924, the vindictive philosophy of the IRC against the Central Powers was being challenged. The Council had grown and now included national academies from up to twenty countries, mostly neutral during the war and who did not see the need for such exclusionary policy. Also, an increasing number of individual scientists were pushing towards a more reconciliatory and inclusive internationalism. French and Belgian representatives were the most reticent to amend the statutes of the IRC and lift the foundational ban. So much so that real changes only came in 1931 when the IRC dissolved and the new International Council of Scientific Unions (ICSU) took its place. From then on, not only was internationalism a real possibility but also each individual scientific union was freer to organize itself as they saw fit.

 

In the 1920s, however, internationalism in physics materialized in other forms. Two are the best-known and most influential institutions on this aspect: the Solvay Conferences and Niels Bohr’s Institute for theoretical physics in Copenhagen. The former were the initiative of the Belgian industrialist Ernest Solvay to promote relatively small, truly international, by-invitation-only conferences to address pressing issues in both physics and chemistry. After the success of the first two meetings in physics in 1911 and 1913, the third and fourth Solvay meetings in 1921 and 1924 took part in the boycott against the Germans. But, by 1927, the mood had changed and the fifth Solvay conference in Brussels, which eventually became one of the most influential events in shaping the transformation of the early quantum physics into the new quantum mechanics, saw the presence of five German physicists: Max Planck, Albert Einstein, Wolfgang Pauli, Werner Heisenberg and Max Born. In a way, that success was partly due to the tradition that Bohr had managed to create in his institute in Copenhagen. Indeed, Denmark had been a neutral country during the war and the Carlsberg Foundation had generously funded a research center for theoretical physics to keep Bohr in the country. Thanks to both elements, Copenhagen became the central point for physicists and mathematicians to meet and freely exchange ideas on the new quantum physics.

 

But let us go back to the early history of IUPAP because, while Bohr had played a significant role in bringing together physicists from both sides of the war, he was also partly responsible for the failure of IUPAP to take off. In 1931, Bragg resigned and Millikan was appointed president. His plan was to use his tenure as a springboard for American physicists to become more and more internationally relevant, as well as to materialize the inclusion of the German physical society into IUPAP. He expected to achieve both goals with the organization of a major international physics conference in Chicago in 1933, year in which the wind city was celebrating its centenary. With the presence of a large number of invited physicists IUPAP might finally formalize the German membership.

IUPAP
Source: Weimer Pursell, silkscreen print by Neely Printing Co., Chicago (1933) Source: Public Domain / Wikimedia Commons

Millikan’s grand plan did not succeed. First, the recession after the crash of 1929 affected the organization of events during the “Century of Progress” celebrations and money to invite scientists from abroad was short. Second, IUPAP and all other unions had one national scientific institution representing the country. But Germany had two such societies, the Deutsche Physikalischer Gesellschaft (DPG) and Gesellschaft für Technische Physik (GTP), and the attempts by Millikan and, especially Abraham, who was still serving as secretary, in correspondence with Planck and other German representatives could not settle the question as to which German society was to represent the country in the Union. And, third, the political climate in Germany was changing and the nazi ideology taking hold of the country was certainly not keen on internationalism.

 

Chicago did finally organize a minor scientific meeting, but it was far from being the major event Millikan had envisaged to expand and consolidate IUPAP. Promoters of the Union did not, however, give up and decided to use a major physics conference organized by the British Institute of Physics and the Royal Society in both London and Cambridge in October 1934 as the place to formalize German membership. And as a sign to underline the true international character of the Union, they offered the presidency to Bohr as icon of internationalism. The correspondence between Millikan, Abraham, Bohr, Schrödinger and a few other physicists show an amusing yet sad chain of misunderstandings: Abraham and Bohr thought Millikan had accepted the presidency by misreading a telegram of the latter; but Bohr did not want to get involved unless the German membership was fully signed, not simply promised. And that never happened.

 

So, Millikan having resigned and Bohr having rejected the presidency, the soul of the dormant union was its long-serving secretary, Abraham, who worked hard to find a candidate to act as president while things were clarified. In 1937, the Swedish physicist and Nobel Prize winner Manne Siegbahn agreed to be the president of IUPAP, but the Union was still short of activities, cohesion and a clear goal. It was also the indefatigable Abraham who continued his search for ways to keep the Union alive. He proposed a conference in Copenhagen in 1938, with the support of Bohr, or in Stockholm, organized by Siegbahn or, even as late as late as May 1939 he was thinking of a conference in Paris for 1940. None of them ever materialized and World War II not only destroyed the hopes and dreams of having a fully functional and international Union of Pure and Applied Physics, but even more poignantly, ended with the life of its most ardent defendant: Abraham was murdered in Auschwitz in 1943. As we shall see in the next installment, the Union reinvented itself after the war and had to learn how to navigate the new peace of the Cold War.

 

 

Further reading:

 

Lalli, R. and Navarro, J. (2024). Globalizing Physics: One Hundred Years of the International Union of Pure and Applied Physics. Oxford University Press. [Available in open access: https://academic.oup.com/book/58182]

 

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The mathematical secrets of Barcelona’s Sagrada Familia

30 June 2026 at 14:00

Authors: Sergi Muria Maldonado, Professor de Didàctica de les Matemàtiques, Universitat de Barcelona; Anton Aubanell Pou, Professor de l’Institut de Formació Continuada i professor jubilat de Didàctica de les Matemàtiques, Universitat de Barcelona, and Jordi Font González, Professor de Didàctica de les Matemàtiques, Universitat de Barcelona

Sagrada Familia
The basilica’s columns branch out, imitating the natrual structure of a tree.
David Herraez Calzada/Shutterstock

 

2026 marks 100 years since the death of Antoni Gaudí, the architect of the Basilica of the Sagrada Familia in Barcelona. While the temple’s beauty is extraordinary in its own right, it becomes even more profound when we explore the numerical patterns that lie behind its striking forms.

By contemplating the mathematical principles that underpin its structure, the visual harmony of the whole takes on a new dimension, endowing it with a renewed functionality, balance and coherence.

Mathematician Claudi Alsina i Català deeply studied the mathematics of the Sagrada Família. He undertook his initial studies in this field at the University of Barcelona, and supervised the doctoral thesis of Jordi Faulí, the architect currently in charge of the temple’s ongoing construction.

In his memoirs, Alsina stated:

Many had wondered whether the design of the Sagrada Família contained some module or system of proportions that guided the building’s metric relationships. (…) One Saturday afternoon, sitting at my desk at home, with all the data and documents on this mysterious proportional system – if indeed it existed – I discovered it. The 7.5-metre module and the ratios between the divisors of 12 (1:4, 1:3, 1:2, 3:4, 2:3, 1) seemed to explain a great deal.

12: the magic number

It is no surprise that the number 12 plays a prominent role in the structure of the church. Gaudí conceived the Sagrada Família as a synthesis of architecture and religious symbolism, and the number 12 features heavily in the Bible: Jacob’s 12 sons, the 12 tribes of Israel, the 12 apostles and the crown of 12 stars in the Book of Revelation are just a few examples.

But its significance is not merely symbolic. From a mathematical point of view, 12 is a number particularly well-suited to establishing proportions, as it has many divisors. According to Alsina, the relationships between these divisors account for much of the basilica’s proportional system.

The 7.5-metre module

Drawing on Alsina’s work, we invite you to take a brief mathematical tour of the Sagrada Família.

The temple’s dimensions are based on the number 12 and a module of 7.5m. It is 90m long (7.5 × 12) and 60m wide (7.5 × 8). The width of the main nave is 45m (7.5 × 6).

In terms of height, the highest vault is that of the apse, at 75m (7.5 × 10), followed by the vault of the transept at 60 metres (7.5 × 8). The nave vault is 45m high (7.5 × 6), the side aisle 30m (7.5 × 4), and the choir 15m (7.5 × 2).

The Tower of Jesus Christ is the central and tallest of the cathedral. It stands at 172.5 metres (7.5 x 23), close to the height of the landmark hill of Montjuïc. It is crowned by a four-armed cross, 17m high and 13.5m wide. Surrounding this are the four Evangelist Spires, which reach a height of 135m (7.5 x 18).

Sagrada Familia
The Star of the Virgin Mary sits atop the tower of the same name.
Canaan, CC BY

The 138-metre high Tower of the Virgin Mary is the second tallest in the basilica. It is crowned by a 12-pointed star, which rests on three supporting arms. This star has a diameter of 7.5m, and is made up of a regular dodecahedron, with pyramid-shaped pentagonal points rising from each face. Its reflections of daylight and night-time illumination lend this star a unique beauty.

Polyhedral towers

Polyhedrons also feature prominently in the towers of the Sagrada Família. The four towers of the Glory façade are topped by dodecahedrons, the four towers of the Nativity façade by truncated irregular octahedrons, and the four towers of the Passion façade by truncated cubes.

On each of the 12 towers, a spire rises above these polyhedrons. Those dedicated to the evangelists are crowned with regular icosahedrons containing spotlights that illuminate the large cross that sits atop the Tower of Jesus Christ. Just above each icosahedron is a sculpture that symbolically depicts each evangelist. There are numerous star-shaped polyhedrons throughout the church, particularly on the Nativity façade.

Sagrada Familia
The towers of the Nativity façade, crowned by octahedrons.
Yura Tarasovskyy/Shutterstock

A forest of towers

Catenary arches feature prominently as key structural elements of the church, as they are a highly effective way to transfer loads to the ground without the need for additional support. They can be seen in the system of sloping columns that support the vaults of the interior naves, the vaults and ceilings themselves, and the Nativity façade.

Inside the Sagrada Família, there are four different types of column. All are double-helix torsion columns – each has a rounded, star-shaped polygonal base, and is formed by the intersection of two opposing Solomonic columns. Above each one is a knot from which different branches emerge, similar to those of a tree, which very efficiently support the towers and the roof of the church.

The skylights in the roof are also one-sheet hyperboloids. Made up of straight lines, they are easy to construct, and optimise the capture and projection of light.

The symbolism of 7 and 33

The church has other deeply symbolic hidden features. Take, for instance, the canopy above the high altar, which forms a regular heptagon 5 metres in diameter, whose seven sides symbolise the seven gifts of the Holy Spirit.

A montage of Melancholia I by Albrecht Dürer, showing a numerical grid in the top right-hand corner, and the real-life magic square designed by the sculptor Josep Maria Subirachs.
On the left, Melancholia I by Albrecht Dürer, with a numerical grid visble in the top right-hand corner. On the right, the magic square designed by the sculptor Josep Maria Subirachs.
Jordi Domènech/Wikimedia Commons/, CC BY-SA

On the Passion façade there is a magic square in which the sum of all rows, columns and diagonals is 33. It appears to be inspired by the magic square featured in the engraving Melancholia I by Albrecht Dürer.

The mathematics that underpins the Sagrada Família makes it all the more beautiful. While the building itself is a sight to behold, a deeper understanding of the principles behind it inspires even greater admiration for the enduring genius of Antoni Gaudí.

 

This article is republished from The Conversation under a Creative Commons license. Original article.

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Why storing heat may be as important as storing electricity

29 June 2026 at 14:00

Author: Tamara Cruz Tena, strategy consultant, CIC  energiGUNE

 

When energy storage is discussed in the context of the energy transition, the conversation almost invariably turns to electricity. Solar and wind power have made the temporal mismatch between energy production and energy demand one of the defining challenges of low-carbon energy systems, and technologies capable of storing electrical energy have consequently become central to discussions about decarbonization.

Yet this emphasis on electricity raises an interesting question. If a substantial fraction of the energy ultimately consumed by modern societies is required not as electricity but as thermal energy, should future energy systems necessarily store energy in electrical form?

thermal energy
District heating accumulation tower from Theiss near Krems an der Donau in Lower Austria with a thermal capacity of 2 GWh. Source: Ulrichulrich CC BY-SA 3.0 / Wikimedia Commons

The question may appear deceptively simple. Electricity plays a visible role in modern economies, powering everything from communications and transportation to industrial equipment and domestic appliances. Thermal energy, by contrast, often remains hidden within industrial processes, heating systems and manufacturing operations. Nevertheless, many of the activities that sustain modern societies depend primarily on heat rather than electricity.

Steelmaking, cement production, chemical manufacturing, food processing, paper production and numerous other industrial activities require thermal energy delivered under specific conditions of temperature, power and duration. In many cases, fossil fuels have historically fulfilled this role not because alternative energy sources were unavailable, but because combustion offers a relatively direct means of producing high-temperature thermal energy where and when it is required.

As renewable electricity becomes increasingly available, this situation may encourage a different way of thinking about energy storage. Rather than focusing exclusively on how electricity can be stored and later returned to the grid, it may also be worth considering whether part of that energy could instead be stored in forms intended for later thermal use.

Such an approach would not eliminate the need for batteries, nor would it necessarily be appropriate for every application. It does, however, suggest that thermal energy storage may represent a distinct scientific and engineering problem whose requirements differ from those associated with conventional electrical storage technologies.

Storing energy for later thermal use

At the heart of the discussion lies a relatively straightforward physical observation. Electrical energy can be converted into thermal energy with high efficiency through a variety of heating technologies. Once this conversion has taken place, the resulting energy may be stored within a material or chemical system and later recovered when thermal energy is required.

Importantly, what is stored is not temperature itself. Temperature is an intensive thermodynamic property and therefore cannot be accumulated in the same way as energy. Instead, thermal energy storage systems retain energy through changes in the state of a material, whether by increasing its temperature, inducing a phase transition or driving a reversible chemical reaction.

The simplest of these approaches is generally known as sensible heat storage. In such systems, energy is stored through an increase in the temperature of a material. Water provides the most familiar example, although industrial applications may employ molten salts, rocks, ceramics, graphite or other materials capable of operating under more demanding thermal conditions. The amount of energy stored depends on the mass of the storage medium, its heat capacity and the temperature interval over which it operates.

A second possibility involves latent heat storage, where energy is absorbed or released during a phase transition. Because phase transitions may involve substantial enthalpy changes while temperature remains relatively constant, these systems can store significant amounts of energy within comparatively narrow temperature ranges. This characteristic has made phase change materials attractive for applications in which thermal energy must be supplied near a particular operating temperature.

Even more ambitious concepts involve thermochemical storage. In these systems, thermal energy drives reversible chemical reactions, allowing energy to be stored in chemical form and later recovered when the reverse reaction occurs. Under certain conditions, such approaches could potentially enable storage over much longer timescales than conventional thermal systems, although their practical implementation remains associated with significant scientific and engineering challenges.

At first sight, these approaches may appear to offer relatively straightforward solutions. However, as is often the case in energy research, the situation becomes considerably more complicated once practical constraints are taken into account.

Materials operating at elevated temperatures may experience degradation through corrosion, thermal fatigue, creep, phase instability or other mechanisms whose importance depends on the operating conditions and storage medium. Repeated thermal cycling can gradually alter material properties, while large-scale systems introduce additional challenges related to heat transfer, containment and long-term reliability. In thermochemical systems, reaction kinetics, cycling stability and reactor design may become equally important considerations.

As a result, the central question is not whether thermal energy can be stored. It clearly can. The more difficult question is whether such storage can remain technically reliable, economically viable and operationally robust under the conditions required by industrial applications.

A maturity paradox

Interestingly, many of the technologies that could contribute to this objective are no longer at an early stage of development. Electric heat pumps, electric boilers, electric resistance heaters and several forms of sensible and latent thermal energy storage have reached relatively high levels of technological maturity. From a purely technological perspective, the challenge is therefore not always one of invention. In many cases, the relevant technologies already exist.

Yet this observation introduces a different question. If a number of these technologies are already mature, why does their future role remain difficult to assess?

Part of the answer may lie in the complexity of modern energy systems themselves. The behaviour of a heat pump, an electric boiler or a thermal storage unit can often be described in considerable detail. However, energy systems contain thousands of interacting components operating across multiple spatial and temporal scales. Incorporating detailed representations of thermal technologies into large-scale energy models may therefore become computationally challenging, particularly when such models are intended to optimize entire electricity, heating and industrial sectors simultaneously.

This creates an interesting tension. The physical behaviour of thermal technologies is often governed by complex thermodynamic processes, yet large-scale energy planning frequently requires simplified mathematical representations that remain computationally tractable. Determining how much detail can be removed without losing essential information remains an active area of research and may influence how the future role of thermal energy storage is assessed.

This distinction may help explain why thermal energy storage has attracted increasing scientific interest in recent years. A significant fraction of industrial energy demand is thermal rather than electrical, and many industrial processes require heat directly. Under such circumstances, converting electrical energy into thermal energy, storing it, and subsequently using it as heat may sometimes prove more practical than repeatedly converting energy between different forms.

Beyond storage

The implications extend beyond individual storage technologies. Some researchers have suggested that thermal energy storage could also contribute to system flexibility by partially decoupling heat demand from the instantaneous availability of renewable electricity. During periods of abundant renewable generation, electrical energy could be converted into thermal energy and stored for later use. If such approaches prove technically and economically viable at scale, they could potentially help reduce some of the temporal mismatches that arise in renewable-dominated energy systems.

Whether this possibility ultimately becomes significant remains uncertain. Industrial sectors differ substantially in their temperature requirements, operating schedules and process constraints. Storage technologies that appear promising in one context may prove less suitable in another. Likewise, systems that perform well under laboratory conditions may encounter unexpected limitations when deployed at industrial scales.

For this reason, thermal energy storage may be best understood not as a single technology but as a broad collection of approaches aimed at addressing a common problem. The details differ from one system to another, but the underlying question remains remarkably simple: if much of the energy consumed by modern societies is ultimately required in thermal form, what is the most effective way of ensuring that such energy remains available when it is needed?

Viewed from this perspective, the challenge is not simply one of storage. The objective of an energy system is not merely to retain energy for later use, but to ensure that energy remains available in a form compatible with the process that ultimately consumes it. In some cases that form may be electrical. In others, it may be thermal. Determining when each option is preferable remains an active area of research.

Whether any particular thermal energy storage technology ultimately becomes a major component of future energy systems remains unclear. What already appears increasingly difficult to ignore, however, is the observation from which the entire discussion emerges. A substantial fraction of the energy consumed by modern societies is required in thermal form. This fact alone may justify a closer examination of how such energy can be stored, transported and recovered efficiently. As researchers continue to investigate the materials, mechanisms and constraints involved, thermal energy storage may offer a useful reminder that decarbonization involves more than replacing one source of electricity with another. It may also require a deeper understanding of how energy itself is used.

The BRTA is a consortium that remains a step ahead of future socio-economic challenges worldwide and in the Basque Autonomous Community; it addresses them through research and technological development, thus projecting itself internationally. The BRTA centres collaborate to generate knowledge and transfer it to Basque society and industry so as to make them more innovative and competitive. The BRTA is an alliance of 17 R&D centres and cooperative research centres with the support of the Basque Government, the SPRI and the Chartered Provincial Councils of Araba, Bizkaia and Gipuzkoa.

 

References

  1. Maruf, M. N. I., Morales-Espana, G., Sijm, J., Helistö, N., and Kiviluoma, J. (2021) Classification, potential role, and modeling of power-to-heat and thermal energy storage in energy systems: A review. arXiv. Available at: https://arxiv.org/abs/2107.03960
  2. CIC energiGUNE (2022) Thermal energy storage: a key factor in energy transition. Available at: https://cicenergigune.com/en/blog/thermal-energy-storage-key-energy-transition
  3. International Energy Agency (2024) Energy Efficiency 2024. International Energy Agency. Available at: https://www.iea.org/reports/energy-efficiency-2024

 

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