In our latest episode of Lexicon, we sat down with Tom Grainger, Commercial Vice President at Niron Magnetics,  to explore the hidden role permanent magnets play in modern technology and electrification.

From electric vehicles and wind turbines to smartphones and speakers, these components are essential to countless devices we rely on every day. Tom also discussed the growing strategic importance of rare earth magnets and the risks associated with highly concentrated global supply chains.

Also, subscribe to IE+ for premium insights and exclusive content!

Reinventing the magnet

Permanent magnets rarely make headlines. Yet, as Grainger explained to us, they sit at the core of modern electrification.

“Pretty well every modern electronic device relies on permanent magnets,” he told us. “The car you drive, the speakers you’re hearing me come out of right now, the microphone that’s picking up my voice, all of those are permanent magnet devices,” he added.

“Relying on rare earth magnets today means relying on a supply chain that is over 90 percent concentrated in China. Single point of failure geopolitically,” he said.

But it turns out the issue is not limited to mining.

“All through the supply chain, you see that concentration,” he explained. The result is what he calls a pinch point. “You’ve got a pinch point on which the global economy hinges,” he added.

A magnet-hungry world

Furthermore, the demand side only intensifies the pressure. “As cars install more speakers and compete on infotainment and a great in-cab experience, doubling the speakers doubles the magnets,” Grainger told us. 

“Imagine as you move from an F-35 to a swarm of drones, you’re saving a lot of money, saving a lot of material, but you are greatly increasing your magnet consumption,” he added.

Even in a stable geopolitical climate, supply would be strained. “Even if everything is peachy globally, there are just not enough rare earths to solve this magnet-hungry global economy,” he added.

“For some critical rare earths, China put in place export controls,” he said. Those elements are required for high-temperature applications, which represent roughly 80 percent of use cases. Automotive production slowed. Defense programs accelerated alternative sourcing efforts. Phones, he recalls, were “ringing off the hook.”

“Magnets may already be as strategically important as semiconductors,” he added.

Forty years without a new material

Beyond supply risk, Grainger argues, there is a deeper technological constraint. The last major breakthrough in magnetic materials came in the 1980s with rare-earth magnets.

“The last time we had a new magnetic material that has had any sort of real commercial impact was rare earth magnets in the 1980s,” he told us.

That means four decades of motor and generator design constrained by the same materials. He uses a culinary analogy. “You can imagine you are a chef. You’ve been working with four ingredients. Suddenly, you have another option. It is just an unlock for breakthroughs in motor design,” he added.

“We’ve spent four decades without a new key and without a new door open,” he said. That new key, according to Niron, is iron nitride.

Iron nitride to the rescue

According to Grainger, iron nitride is not a brand-new discovery, being first identified in the 1950s. Later attempts in Japan produced promising but inconsistent results. The missing piece was the ability to understand and control the material at the nanoscale.

“We did not have the technology at the time to be able to explain, just from a physics perspective, what makes iron nitride so magnetic, and then to reliably produce iron nitride in this magnetic phase,” Grainger told us.

Advances in imaging and characterization in the 2000s and early 2010s changed that. “The ability to see what you’re doing when you make an experimental attempt to measure it was unlocked by advances in characterization imaging,” he added.

From there, it took more than a decade to move from laboratory research to bulk, commercially viable magnets. “It was a decade from that program to actually having commercially viable bulk permanent magnets,” he said.

The potential upside is significant. “For a rare earth permanent magnet made of neodymium, that number is about 1.6 Tesla,” he explained. “For iron nitride, that equivalent limit is 2.4 Tesla,” he added.

“That ceiling is 50 percent higher than rare earth permanent magnets,” he said.

Temperature performance is another factor. Rare earth magnets rely on scarce heavy rare earth elements such as dysprosium and terbium to maintain performance at high temperatures. “Iron nitride, just by virtue of its underlying crystal structure and properties, gets that temperature stability for free,” Grainger said.

Unlocking variable flux motors

One of the most intriguing applications discussed in the episode is the variable flux motor. Traditional permanent magnet motors use a technique called flux weakening at high speeds, which requires continuous electrical input. 

Grainger described it with a metaphor: “think of it as holding a spring. If you move your hand, it pops right back up. And so you’re using power to do that.”

Variable flux offers a different approach. “Instead of continuous energy expenditure holding down that spring, it’s like a ratchet. You push down the spring once, and you lock it into place,” he said.

The result is improved efficiency across the speed range. In electric vehicles, that translates directly to range and battery savings. “You get a 2 percent decrease in battery materials. The cost savings on that don’t just pay for your magnets, that pays for your whole motor,” he added.

The same logic applies to appliances and data centers. Efficiency gains compound quickly when systems operate continuously.

Scaling manufacturing

Moving from breakthrough to production required another leap. “Niron has been introducing iron nitride permanent magnets, and we’re doing so on a nano scale,” Grainger told us. 

“Our lab breakthrough was then the second breakthrough, which is really the process. And the process in that case becomes the product,” he said. The goal is modular scalability. Facilities can be replicated in multiple regions, reducing geographic concentration risk.

Iron nitride is composed of iron and nitrogen. Both are abundant and widely sourced. “Anywhere you have an industrialized society, you’ve got an opportunity for iron nitride domestic magnet production,” he said.

A strategic shift

Looking at the bigger picture, Grainger drew a historical analogy to the Haber-Bosch process, which enabled synthetic fertilizer production and reduced reliance on guano mining. “What iron nitride is, is that shift,” he said. “So, what if we could avoid all of that digging. What if we could avoid the reliance on what is fundamentally any mine has a shelf life,” he added.

So, instead of finite ore bodies, he describes a factory-built approach. “This is innovation as a cookie-cutter. Sort of the abundance philosophy around magnets,” he told us.

And, defense customers have taken notice. Programs initially planned for five to seven-year development timelines were “suddenly on 18-month fast tracks” after export controls tightened.

What the next decade has in store

Looking ahead, Grainger defines success in pragmatic terms. “Success for iron nitride is that we’re not talking about magnets as a scarce or critical pain point in global supply chains,” he added.

Beyond stability, he anticipates innovation. New motor and generator designs built around the expanded magnetic ceiling. Localized manufacturing in Asia, Europe, and North America. Reduced vulnerability and expanded design freedom.

“It can be hard sometimes to think about, can new things be done that aren’t just new assembly or new software?” he told us. “And absolutely they can.”

Remains of the man, Joseph Louis Serrao Jr., discovered in a remote area in Olympic National Park in 2000, were identified using forensic genealogy.

Scientists in the US have utilized the Polaris supercomputer to generate the most detailed three-dimensional (3D) images of the pion, the lightest particle made of quarks.

The study, which helped reveal the internal structure of a pion in unprecedented detail, was conducted by a research team at the US Department of Energy’s (DOE) Argonne National Laboratory (ANL).

Pions are subatomic particles that play a significant role in holding atomic nuclei together. “Pions mediate the strong force that binds nucleons, that is, the protons and neutrons that account for an atom’s mass,” Yong Zhao, PHD, an ANL physicist and principal investigator of the project, said.

According to the Zhao and the team, the findings reveal not only how quarks are arranged within the particle, but also offer new clues on how visible matter forms from fundamental particles. The latter is considered one of the biggest mysteries in physics.

Mapping the pion

Pions are among the lightest and simplest subatomic particles. They are governed by the strong force, which binds protons and neutrons together inside the atomic nuclei. This force accounts for 98 percent of the mass of the visible universe.

They’re also composed of a quark and an antiquark. Yet, despite their importance, scientists have struggled to examine their internal structure because experimental data remains limited. To overcome this challenge, ANL and Brookhaven National Laboratory researchers turned to large-scale computer simulations.

The team combined advanced theoretical models with the computing power of Polaris. This reportedly recreated the pion’s internal structure in remarkable detail.

Zhao pointed out that examining the pion’s multidimensional structure provides a deeper insight into the particle’s fundamental properties. “By probing the pion’s internal structure, we gain a deeper understanding of how quarks and gluons are confined to create visible matter,” he said.

The simulations generated high-resolution 3D images that showed how quarks are distributed throughout the particle. Understanding this structure is essential for explaining how quarks and gluons combine to create the visible matter that makes up the universe.

A new perspective

For the project, the group simulated hundreds of snapshots of four-dimensional (4D) spacetime with lattice quantum chromodynamics. This is a technique that places particles and fields on a vast computational grid.

“This is a task possible only with large-scale parallel computing power like that of ALCF supercomputers,” Zhao said in a statement. “We thereby obtained high-resolution images of the quark structure in a moving pion.” The images showed how quarks carrying different fractions of the pion’s momentum are distributed across the particle.

The team modeled how quarks move both along the pion’s direction of motion and across it. The simulations relied on lattices with millions of grid points. “The simulation captures hundreds of snapshots of our 4D spacetime, represented on a lattice with millions of grid points,” Zhao added.

The calculations revealed the quark generalized parton distribution (GPD) of the pion. This is a mathematical framework that describes how quarks are distributed in both momentum and space. The resulting maps provided a detailed 3D picture of the particle.

As per Zhao, one notable finding was that the pion’s transverse size decreases as its momentum increases. The team also found that the pion appears smaller than the proton at moderate momentum values.

“Our next step is to use the ALCF’s Aurora supercomputer to map the proton in three dimensions,” Zhao concluded. “Protons, together with neutrons, make up all the atomic nuclei that compose the visible matter in our universe.”

The study has been published in the Journal of High Energy Physics.

💾

Astronomers studying the atmospheres of several intensely heated exoplanets uncovered an unexpected pattern that may reveal a hidden property of these distant worlds. Astronomers have uncovered the clearest evidence so far that some planets beyond our Solar System possess magnetic fields. By measuring atmospheric winds on seven extremely hot gas giants, researchers found signs that [...]

Founded during the US Civil War to provide advice to the government, the National Academies of Science have become one of the most prestigious scientific organizations. Its primary function is to prepare comprehensive reports on scientific and technological issues, aided by its ability to attract top talent from across the country.

Those reports have not been afraid to weigh in on matters of public controversy and risk offending powerful groups, which it has managed to do without losing the respect of the governmental organizations that fund these reports. But this year, there have been increasing signs that the Academies' ability to dodge political firestorms has reached its limit. Yesterday, a deeply reported story from Politico explained the breakdown between the National Academies and Republican politicians.

The National Academies is preparing an expert report on attribution of weather events to human-driven climate change, and fossil fuel companies are worried it will lead to findings of liability in the many cases where those companies are being sued.

Read full article

Comments

© csfotoimages

A rare meteorite recovered from the Sahara Desert has revealed compelling evidence for a long-lost world that existed during the solar system’s earliest days. About 4.5 billion years ago, a large planetary body, potentially as large as the Moon or even Mars, orbited the Sun before colliding with another object and breaking apart. Now, researchers [...]

Trials are beginning on several drugs that have shown promise in preliminary studies against the virus that is causing the current outbreak.

Elon Musk is now officially the world's first trillionaire. That is a colossal amount of wealth (and by proxy, power) for one individual to have. Its scale - a thousand times more than a billion - is difficult to fathom for those of us who aren't among the 3,363 billionaires that currently exist in our world. But let's try to comprehend it anyway.

The most frequently cited comparison is time. If you were to count out a million seconds, it would take you 11 and a half days. A billion seconds would take you 31.7 years. But a trillion seconds would take 31,700 years - to reach that point today, you would have needed to start counting in the Pa …

Read the full story at The Verge.

Elon Musk's net worth has passed the trillion-dollar mark after SpaceX's IPO. His net worth, which was hovering around $800 billion before the IPO, includes the value of his 4.8 billion shares in SpaceX, along with his wealth from his other companies, like Tesla. Shares of SPCX opened at $150 and have remained well above the $138 benchmark that gives Musk a 13-figure net worth.

SpaceX combined Musk's rocket, AI, and social media platforms earlier this year, and said in its S-1 that its goal is to "build the systems and technologies necessary to make life multiplanetary, to understand the true nature of the universe, and to extend the light …

Read the full story at The Verge.

A San Francisco company paid nearly $1 million for the solution to an unsolved code in Kryptos, a sculpture on the C.I.A. grounds. Soon it will become an online challenge.

Health officials warn the smoke could be hazardous to multiple communities in the Central Valley and San Joaquin Valley.

Scientists have often wondered how the brain can take in new experiences without erasing stored memories. However, a new study in Nature now identifies a circuit-level mechanism that may help answer this question—and it may also offer clues for improving artificial intelligence.

Researchers at NYU Langone Health recorded the activity of hundreds of neurons simultaneously across several brain regions in mice. By tracking how signals move from the hippocampus to the neocortex, where long-term memories are kept, they found that a subset of hippocampal neurons appears to participate in routing information between regions in distinct patterns. These cells participate in both incoming and outgoing signaling, but do so using distinct patterns of activity.

Separate Channels Through the Same Cells

The study focused on a series of interconnected brain regions: CA3, which processes rapidly changing information; CA1, which serves as a central hub; and the retrosplenial cortex, which is important for navigation and spatial memory. About one in four CA1 neurons receives most of the signals from CA3. When these same neurons send signals to the retrosplenial cortex, they fire in a different pattern, creating a separate outgoing channel using the same cells.

Rather than using new neurons, the brain separates these channels by changing how the same neurons fire together. The researchers suggest this arrangement may help reduce interference between new learning and more stable cortical memories.

“Our findings help explain how memory can be both moldable and enduring,” said co-lead author Joaquín Gonzalez, PhD, a postdoctoral fellow in the Department of Psychiatry at NYU Grossman School of Medicine. “By changing how the same cells fire together instead of turning on new cells, the brain can keep information organized and protect older memories.”

What Happens During Sleep

The CA1 neurons involved in learning during the day also stay active at night. The researchers found that these cells remain busy during sleep events called sharp-wave ripples, which are bursts of activity the hippocampus uses to replay and strengthen memories from the day.

Since overlapping neurons are recruited during both waking activity and sleep replay, the same circuit elements appear to participate in both learning and consolidation. This theoretically allows the brain to use a single system for both learning and storing memories, without the two processes interfering with each other.

“Our study shows how learning and memory consolidation can coexist in the same network,” said co-lead author Mihály Vöröslakos, MD, PhD. “Our discovery was made possible because for the first time, we were able to record hundreds of individual neurons across all the key regions simultaneously in animals that were moving around naturally.”

Implications for Disease and AI

The system identified in this research may help explain how memory disorders begin. In Alzheimer’s disease, for example, the hippocampal circuits examined here are some of the earliest to deteriorate. These networks are essential for sorting and organizing new experiences.

“Our discovery of a ‘memory switchboard’ deep in the hippocampus may provide clues as to how memory circuits fail in Alzheimer’s disease,” said co-senior author Zhe S. Chen, PhD, a professor in the Departments of Psychiatry and Neuroscience at NYU Grossman School of Medicine.

Artificial intelligence systems have a hard time holding onto what they’ve already learned when faced with new tasks, a problem researchers call catastrophic forgetting. The human brain appears able to update memories without catastrophic forgetting by altering the use of existing neural circuits. By studying how our brains pull this off, scientists hope to design AI that can keep learning new things without forgetting the old.

“By showing how the mammalian brain can safeguard memories during learning, our research may offer a biological blueprint for designing next-generation AI technology that can update itself continuously without overwriting what it has already acquired,” said co-senior author György Buzsáki, MD, PhD, the Biggs Professor of Neuroscience at NYU Grossman School of Medicine.

The researchers plan to investigate whether similar switchboard-like channels exist in other memory circuits. The authors caution that their findings in mice under controlled conditions do not yet allow conclusions about the human brain.

Austin Burgess is a writer and researcher with a background in sales, marketing, and data analytics. He holds an MBA, a Bachelor of Science in Business Administration, and a data analytics certification. His work focuses on breaking scientific developments, with an emphasis on emerging biology, cognitive neuroscience, and archaeological discoveries.

SpaceX’s IPO on Friday allows the public to buy shares of the combined rocket, AI, and social media company for the first time, and raised enough money to make Elon Musk the first trillionaire. 

He has more wealth, on paper at least, than the economies of nations like Ireland, Sweden, or his home country of South Africa (CNN cites the International Monetary Fund saying only 20 countries have economies larger than $1.1 trillion), now linked to the promise of a business based on launching AI datacenters into space.

Follow along here for the latest updates.

• SpaceX reportedly rented out Colossus 1 AI data center after it ran into latency issues.
• The world’s first trillionaire is a killer
• Forbes Real-Time Billionaires list adds a trillionaire.
• A trillion dollars is a stupid amount of money
• Elon Musk is the world’s first trillionaire
• SPCX opens at $150 per share.
• SpaceX is now public
• Elon Musk is encouraging race riots on the eve of SpaceX’s IPO
• Here’s the first SpaceX AI data center.
• The SpaceX IPO is great for Elon Musk and terrible for you
• SpaceX gets $4 billion contract to build missile-tracking ‘Golden Dome’ satellites
• In SpaceX’s IPO, Elon Musk is the risk factor
• SpaceX just filed for what could be the biggest IPO ever
• The SpaceX IPO is a trillion-dollar gamble on the future of space
• SpaceX reportedly files for IPO but it’s keeping the numbers secret (for now)
• Why is SpaceX going public?

Researchers at the University of Hong Kong (HKU) and the Centre for Advanced Semiconductors and Integrated Circuits (CASIC) have announced a major breakthrough in cryogenic electronics: the development of a programmable neuromorphic hardware platform that can operate at temperatures as low as 10 millikelvin (-459.65°F), close to absolute zero. This innovation holds significant promise for the future of quantum computing and deep-space exploration.

Harnessing negative differential resistance in Silicon Carbide

The research team, led by Professor Yuhao Zhang and PhD student Xin Yang from HKU’s Department of Electrical and Computer Engineering, has successfully harnessed negative differential resistance (NDR) in industry-standard Silicon Carbide (SiC) MOSFETs.

Their approach enables a single transistor to mimic the energy-efficient “spiking” behavior of biological neurons at ultra-low temperatures. This is the first time such behavior has been demonstrated in a standard transistor at cryogenic levels.

Addressing quantum computing’s wiring bottleneck

Quantum computers require extremely sensitive qubits, maintained at temperatures near absolute zero, to function effectively. However, traditional silicon-based controllers generate significant heat and consume high power, forcing them to be positioned several meters (over a mile in large installations) away from the qubits. This distance introduces a wiring bottleneck that restricts scalability and performance.

“Our work introduces a hardware platform that can be integrated alongside quantum processors,” said Prof. Zhang. “By using unique carrier dynamics in silicon carbide, we can create circuits that are thousands of times more energy-efficient than conventional electronics, significantly reducing the thermal load on cryogenic systems.”

Stable and scalable technology

The key discovery is that SiC MOSFETs, when cooled below 2 Kelvin (-456.67°F), exhibit a strong “S-shape” NDR behavior due to electron-donor impact ionization (EDII). Unlike other technologies that require heat to function, this mechanism is intrinsic to the material, making it stable and repeatable even across different manufacturing batches.

“This is a robust and scalable approach,” said Mr. Yang. “Silicon carbide is already widely used in electric vehicles and power grids, so we can use existing industrial foundries to produce these cryogenic chips on 300-mm (11.8-inch) wafers.”

Enabling complex cryogenic networks

The study shows that these artificial neurons can be cascaded to form larger networks, allowing for complex, local data processing at ultra-low temperatures. This advancement is expected to greatly improve quantum error correction and real-time quantum control, both crucial for advancing quantum computing technology.

Applications in deep-space exploration

Beyond quantum computing, these rugged circuits have potential uses in deep-space missions, where electronics must withstand extreme cold, such as on the lunar surface or in the outer solar system.

The full findings appear in Nature Communications, in a paper titled “Cryogenic neuromorphic circuits using gate-controlled negative differential resistance in silicon carbide.”

Pour cette semaine du 8 juin : Des cellules solaires ultrafines pourraient transformer chaque objet en source d'énergie, les extraterrestres ont peut-être déjà été remplacés par des super-IA, une enquête dénonce les marges cachées qui rendent le bio plus cher, des traces de feu vieilles d'un...

For five years, an elderly woman with advanced Alzheimer’s disease had spoken mostly in single words, needed help walking, and showed little spontaneous interaction with the people around her. Then, roughly 19 hours after receiving a high dose of psilocybin-containing mushrooms, she emerged from a prolonged, deep sleep-like state and began talking about her life.

The striking episode, described in a new case report published in Frontiers in Neuroscience, does not show that psilocybin reverses Alzheimer’s disease. The researchers are careful to stress that this was a single patient, observed in a real-world private clinical setting without brain imaging, formal sleep monitoring, or standardized cognitive testing.

Still, the study’s authors say the case raises the interesting possibility that in late-stage dementia, some functional abilities may indeed remain dormant rather than be completely lost.

“Advanced Alzheimer’s disease is generally regarded as a stage of irreversible functional decline,” researchers write. “This case documents transient multidomain functional improvement in advanced Alzheimer’s disease following psilocybin administration.”

The case involved a Japanese-American woman in her 80s with a 10-year history of Alzheimer’s disease. The patient was described as being in an advanced stage of dementia, with the previous five years being noted for severe decline.

Her speech had become mostly monosyllabic, and she had chronic urinary incontinence, executive dysfunction, dysphagia, dependent mobility, flat affect, prolonged somnolence, and a severe reduction in spontaneous communication.

Her diagnosis had been made clinically about a decade earlier, based on a steadily progressive neurodegenerative course, memory impairment, language reduction, executive dysfunction, and functional decline.

The intervention was a single oral dose of 5 grams of psilocybin-containing mushrooms from the “Enigma” strain. Researchers note that no established psilocybin dosing framework exists for advanced dementia, and the dose was high by almost any comparison.

Recreational users commonly describe 1 to 3 grams of dried Psilocybe cubensis mushrooms as a typical range, while doses around 3.5 grams or more are generally considered strong. A 5-gram dose is often treated as an especially intense experience. However, direct comparisons are imprecise because psilocybin content can vary widely between mushroom species, strains, batches, and even different parts of the same mushroom.

The study also notes that the dose was “relatively high compared with dosing approaches commonly used in modern clinical trials,” which typically use carefully measured amounts of purified psilocybin rather than whole mushrooms.

One month later, after some improvements persisted, the patient underwent a second supervised session using 3 grams.

The first session produced a dramatic acute response. The patient experienced autonomic activation, profuse sweating, suspected hyperthermia, and what the researchers describe as a prolonged deep sleep-like state. Exact temperature measurements were not available.

The study’s timeline shows that the first 12 hours were dominated by autonomic and sleep-like effects. At about 19 hours, the patient spontaneously awakened and produced roughly four hours of autobiographical speech.

By the first day, she showed increased alertness and recognition of family. By the second day, she was independently walking. By days two and three, she was dressing herself and showing spontaneous initiative. Around the same time, her diapers remained dry, including at night.

The improvement in continence was particularly notable to researchers because urinary control depends on more than a single simple reflex. It requires awareness of bodily signals, executive inhibition, and coordination among brain networks affected by dementia. The report states that the patient remained continent one month after the initial session, which was one reason a second session was performed.

During that second session, the patient reportedly remained more verbally expressive and described positive imagery involving surfing with her son on a peaceful island.

Researchers also observed improved facial expressivity, emotional reciprocity, spontaneous humor, and greater agility while walking. At one point during follow-up, the patient spontaneously said, “It is pleasant to come here.”

The study’s broader importance is in what it may suggest about the brain in advanced neurodegenerative disease. Alzheimer’s is usually understood as a progressive condition in which neurons and networks progressively deteriorate, stripping away memory, communication, mobility, and autonomy. By the advanced stage, treatment is largely supportive, and meaningful functional recovery is generally considered unlikely.

Psilocybin, however, is known to transiently alter large-scale brain dynamics via activation of the serotonin 5-HT2A receptor. Researchers point to prior human neuroimaging studies showing changes in default mode network integrity, network segregation, and functional connectivity after psilocybin administration. They also cited preclinical research suggesting psychedelics may promote structural and functional plasticity, including dendritic growth and synaptic remodeling.

That does not mean psilocybin repaired the patient’s Alzheimer’s disease. Instead, researchers suggest a more measured interpretation. The drug may have temporarily altered brain network activity, allowing remaining functional systems to reintegrate or become accessible again, at least for a limited period.

The report does not claim that plaques, tangles, or neurodegeneration were reversed. It also does not show that other patients would experience similar results. Because this was a single case, there was no control group, no placebo comparison, no formal biomarker confirmation, and no standardized cognitive testing to measure the degree of change.

Researchers acknowledge that mixed or alternative neurodegenerative contributions, including vascular components, cannot be fully excluded. Although they found no evidence of acute delirium, intoxication, or another acute neurological diagnosis during the observation period, the case remains observational. Causality cannot be established, and fluctuations in neurodegenerative disease cannot be completely ruled out.

The safety picture is also incomplete. While no severe persistent adverse effects, prolonged agitation, clinically significant cardiovascular instability, persistent psychotic symptoms, delayed neurological deterioration, or delayed medical complications were observed during follow-up, the acute phase included suspected hyperthermia and profuse sweating. In frail elderly patients, especially those with advanced dementia, such responses could carry serious risks.

For that reason, the findings should not be read as a green light for unsupervised psychedelic use in dementia patients. Psilocybin is still a powerful psychoactive compound, and older adults with complex neurological disease may be especially vulnerable to complications.

Ultimately, the value of the report doesn’t lie in providing a treatment recommendation but in documenting an unusual clinical observation that researchers say warrants controlled investigation.

The case also lands amid a flood of scientific interest in psychedelics as tools for studying brain plasticity, perception, memory, and large-scale network dysfunction.

As The Debrief has previously reported, recent brain-imaging work has found that psilocybin can temporarily dissolve familiar brain-network patterns tied to the sense of self, while other studies suggest psychedelics may redirect visual processing toward memory-related regions. Additional research has analyzed how a single dose of psilocybin may produce lasting brain changes, how the compound can reshape neural pathways associated with depression, and how psychedelic effects may be influenced by factors such as exercise, food restriction, and immune signaling.

However, most clinical work with psilocybin has centered on psychiatric conditions such as depression, anxiety, PTSD, and substance use disorders.

More recently, researchers have begun asking whether similar neuromodulatory effects might have relevance for people with mild cognitive impairment or early Alzheimer’s disease.

Published clinical data involving advanced dementia remain extremely limited, which is why the new report is best understood not as evidence of a treatment, but as a provocative case study that may help guide future controlled research.

This recent case does not prove efficacy, but it questions assumptions about what may remain possible in a brain already deeply affected by Alzheimer’s disease.

If future studies find similar effects under supervised conditions, the implications could be significant, not only for dementia care but also regarding understanding how much latent function can persist beneath the outward appearance of severe decline.

“Residual functional capacity may persist in advanced Alzheimer’s disease and may become transiently accessible following psilocybin induced modulation of large-scale brain networks,” researchers conclude. “Systematic investigation is warranted.”

Tim McMillan is a retired law enforcement executive, investigative reporter and co-founder of The Debrief. His writing typically focuses on defense, national security, the Intelligence Community and topics related to psychology. You can follow Tim on Twitter: @LtTimMcMillan.  Tim can be reached by email: tim@thedebrief.org or through encrypted email: LtTimMcMillan@protonmail.com 

SpaceX is now a publicly traded company.

In one of the most highly anticipated and controversial public offerings of all time, the rocket venture helmed by Elon Musk started trading on Nasdaq on June 12th at the take-it-or-leave-it price of $135-per-share - though most retail investors will likely pay far more.

The IPO is historic for many reasons: SpaceX is hoping to raise $75 billion under the ticker symbol SPCX, which would make it the largest public offering in history. The company is controlled by Musk, who also runs Tesla, another trillion-dollar company. The IPO is expected to make Musk, who is set to control 85 percent of the voti …

Read the full story at The Verge.

Researchers traced new undersea ecosystems of soft coral, sea anemones, sponges, and more to large rocks and mineral deposits ferried by icebergs from dry land to the Arctic floor.

Previous landmark scientific discoveries like the Higgs boson provide a better template for what it will take to confirm whether aliens have made contact with Earth.

The world’s first nuclear clocks have ticked. A team of physicists has demonstrated a working timekeeping device regulated not by orbiting electrons — as in conventional atomic clocks — but by transitions within an atomic nucleus itself, a feat decades in the making.

How a nuclear clock differs from an atomic clock

Standard atomic clocks measure time by tracking the frequency at which electrons in atoms like cesium or rubidium flip between energy states. These devices are extraordinarily accurate, losing roughly 1 second every 300 million years. A nuclear clock operates on a fundamentally different principle: it uses the energy transition of a nucleus rather than its electron shell.

The specific nucleus involved is thorium-229, which has a uniquely low-energy nuclear transition — known as an isomeric transition — that falls within the range of ultraviolet lasers.

Most nuclear transitions release gamma rays at energies far too high for laser control, making them impractical for timekeeping. Thorium-229 is a rare exception: its ground state and isomeric state are separated by only about 8.4 electron volts, allowing researchers to drive the transition optically.

In the nuclear clock, a laser is tuned to match this precise transition frequency. When the nucleus absorbs and re-emits photons at that frequency, those oscillations serve as the clock’s ticks.

Because the nucleus is thousands of times smaller than an electron orbit, it is far less sensitive to external electromagnetic interference — a property that could, in principle, allow nuclear clocks to surpass atomic clocks in long-term stability.

Why thorium-229 took so long to harness

The nuclear clock concept was first proposed in the 1970s, but the exact energy of the thorium-229 isomeric transition was not known with sufficient precision to target with a laser until recently. A series of measurements over the past decade progressively narrowed the uncertainty.

In 2024, a team at JILA — a joint institute of the University of Colorado Boulder and the National Institute of Standards and Technology (NIST) — pinned down the transition frequency precisely enough to enable laser excitation of the nucleus.

The current demonstration confirms that thorium-229 nuclei embedded in a calcium fluoride crystal can be repeatedly excited and interrogated using vacuum ultraviolet light.

The calcium fluoride host is transparent at the required wavelength and holds the nuclei in a rigid lattice that minimizes vibrational noise. The clock signal emerges from the collective oscillation of many nuclei simultaneously, which improves the measurement statistics.

According to researchers involved in the work, the present prototype is not yet more accurate than the best optical atomic clocks, but the architecture is now proven. Refinements in laser linewidth and crystal quality are expected to further improve precision.

Probing physics beyond the standard model

The appeal of a nuclear clock extends beyond timekeeping. Because the nucleus interacts strongly with the weak and strong fundamental forces, a thorium-229 clock is sensitive to variations in fundamental constants — quantities like the fine-structure constant and the strong-force coupling — in ways that electron-based clocks are not.

This makes the device a potential instrument for detecting ultralight dark matter. Certain dark matter candidates are theorized to cause tiny, periodic fluctuations in fundamental constants as the Earth moves through a dark matter field.

Comparing a nuclear clock against an optical atomic clock over time could reveal such oscillations. The approach complements particle detector experiments and quantum sensors now used to detect phenomena once considered beyond measurement.

A nuclear clock could also serve as a testbed for whether fundamental constants drift over cosmological timescales — a question with direct implications for theories of dark energy and the evolution of the universe.