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How Low Gravity and Pressure Affect Space Manufacturing of Carbon-Fiber Structures

9 August 2026 at 04:58

A new study is challenging one of the most persistent assumptions in space manufacturing: that building advanced composite structures beyond Earth is simply a matter of moving terrestrial production methods into orbit. Research published in npj Advanced Manufacturing examines how two defining features of the space environment—reduced gravity and reduced atmospheric pressure—can alter the manufacture of carbon-fiber-reinforced structures, materials widely regarded as essential for future spacecraft, habitats and large orbital infrastructure.

Carbon-fiber-reinforced polymers, commonly known as CFRPs, combine strong, lightweight carbon fibers with a polymer resin that binds the fibers into a rigid composite. Their exceptional strength-to-weight ratio makes them attractive for launch vehicles and spacecraft, where every kilogram matters. Yet manufacturing these materials is a delicate process. Fibers must be positioned accurately, resin must penetrate the reinforcement evenly, and gases or trapped voids must be removed before the material cures. On Earth, gravity and atmospheric pressure quietly assist—or complicate—each of these steps.

In space, those familiar forces change dramatically. Reduced gravity can alter how liquid resin flows through a carbon-fiber structure, while low pressure can encourage dissolved gases and volatile compounds to expand or escape. Together, these effects may influence impregnation, consolidation, curing and the final mechanical performance of a composite part. The new work by R. Strecker, T. Rieger, A. Tabelander and colleagues focuses on understanding these interactions before manufacturers attempt to produce increasingly complex structures in orbit.

The central issue is void formation. A composite that appears solid can contain microscopic pockets of air or vapor between its fibers. These voids interrupt the transfer of stress through the material and can reduce strength, stiffness and fatigue resistance. During conventional manufacturing on Earth, pressure is often applied to compress the layers and drive out unwanted gases while resin fills the spaces between fibers. In a reduced-gravity environment, however, buoyancy-driven movement is weakened, and the pathways through which bubbles travel may change. A bubble that would rise and escape during terrestrial processing could remain trapped inside the structure.

Pressure reduction introduces another layer of complexity. Lower ambient pressure can help remove volatile substances and trapped gases, but it can also cause dissolved gases in the resin to expand. If the resin is not sufficiently mobile, expanding bubbles may become locked in place as the material cures. The balance between degassing and bubble growth therefore becomes a critical manufacturing parameter. The study’s importance lies in treating pressure and gravity not as isolated variables, but as environmental conditions that can interact throughout the production cycle.

Resin flow is equally important. Carbon-fiber reinforcements are made from tightly packed filaments, creating narrow channels through which resin must travel. On Earth, gravity can influence resin distribution, especially in vertically oriented or large components. In reduced gravity, capillary forces and surface tension become relatively more significant. These forces can help draw resin into small spaces, but they may also create uneven wetting patterns depending on the fiber architecture, resin viscosity and processing orientation. Such changes could affect whether a component cures uniformly from its surface to its interior.

The findings carry implications far beyond laboratory samples. Future space manufacturers may seek to fabricate beams, pressure-vessel elements, antenna supports, solar-array components and repair patches directly in orbit. Producing these parts where they are needed could reduce the need to launch bulky finished structures from Earth. It could also enable designs too large to fit inside a rocket fairing, including trusses and habitation modules assembled gradually in space. But the economic and engineering promise of this approach depends on reliable quality control. A component that looks flawless may still fail if its internal fiber alignment, resin distribution or void content is inconsistent.

The research also highlights why manufacturing hardware designed for Earth cannot automatically be considered space-ready. Pumps, heaters, vacuum systems, molds and curing chambers must all operate under conditions in which heat transfer, fluid movement and gas removal behave differently. Temperature control is particularly important because resin viscosity changes strongly with temperature. A resin that flows readily during terrestrial processing might move more slowly or unevenly in orbit, while excessive heating could accelerate curing before impregnation is complete. Space-based production systems will therefore need carefully coordinated control of pressure, temperature, resin chemistry and processing time.

For engineers, the study provides a foundation for developing manufacturing protocols tailored to reduced-gravity environments. Instead of copying Earth-based workflows, future systems may need staged pressure changes, specialized fiber preforms, modified resin formulations or active bubble-management techniques. Sensors could monitor pressure, temperature and resin flow in real time, allowing automated systems to detect defects before a part is finished. Non-destructive inspection, including imaging and ultrasonic testing, will also be essential for verifying the integrity of components that cannot easily be returned to Earth for analysis.

The broader message is that space manufacturing is not merely an extension of industrial production—it is a new manufacturing regime governed by different physics. Understanding how gravity and pressure reshape the behavior of fluids, gases and composite materials could determine whether orbital fabrication remains a promising experiment or becomes a practical industrial capability. By examining the production of carbon-fiber-reinforced structures under space-relevant conditions, Strecker, Rieger, Tabelander and their colleagues are helping identify the hidden variables that will decide how safely and efficiently humanity can build beyond Earth.

Subject of Research: Effects of reduced gravity and reduced atmospheric pressure on the in-space manufacturing of carbon-fiber-reinforced structures

Article Title: Effects of reduced gravity and reduced atmospheric pressure on in-space manufacturing of carbon-fiber-reinforced structures

Article References: Strecker, R., Rieger, T., Tabelander, A. et al. Effects of reduced gravity and reduced atmospheric pressure on in-space manufacturing of carbon-fiber-reinforced structures. npj Adv. Manuf. 3, 26 (2026). https://doi.org/10.1038/s44334-026-00104-w

Image Credits: AI Generated

DOI: https://doi.org/10.1038/s44334-026-00104-w

Keywords: in-space manufacturing, carbon-fiber-reinforced polymers, reduced gravity, reduced atmospheric pressure, composite materials, resin flow, void formation, space technology

Porous Reaction-Bonded Silicon Nitride: Size Effects in Pressureless Nitriding of Binder-Jetted Silicon

9 August 2026 at 03:56

A quiet shift in silicon manufacturing could be taking shape inside a new study on porous reaction-bonded silicon nitride, a ceramic material valued for its strength, thermal stability and resistance to chemical attack. Researchers T.G. Aguirre, E. Cakmak, M.D. Richardson and colleagues are investigating how the size of additively manufactured silicon components affects their conversion into silicon nitride through a pressureless nitriding process. Published in npj Advanced Manufacturing, the work connects binder jet 3D printing with a manufacturing route that could make complex ceramic structures easier to produce.

The central idea is deceptively simple: print a component from silicon powder, then expose it to nitrogen so that the silicon reacts and forms silicon nitride. In practice, however, the transformation is governed by a network of interacting physical and chemical processes. Nitrogen must penetrate the part, reach reactive silicon surfaces and diffuse through newly formed ceramic layers. Heat must also move through the structure, while gases generated or trapped during processing must escape. As component dimensions change, these processes can behave very differently.

Binder jet additive manufacturing offers a distinctive route for creating such parts. Instead of melting powder with a laser or electron beam, the process selectively deposits a liquid binder to join powder particles layer by layer. The resulting “green” component is then typically dried and thermally treated to remove the binder, leaving a fragile, porous body. For silicon-based structures, that interconnected porosity can become a processing advantage, allowing nitrogen to travel through the material during the subsequent reaction.

The researchers’ focus on size effects addresses a major challenge in scaling ceramic additive manufacturing from laboratory specimens to useful components. A thin printed sample may nitridize relatively quickly because nitrogen has only a short distance to travel. A thicker or larger part presents a far more demanding environment. Its interior can receive nitrogen more slowly, and the reaction front may progress unevenly from the outer surface inward. Differences in heating rate, temperature distribution and gas transport can produce variations in conversion, density and final microstructure.

The term “pressureless nitriding” is crucial to the study’s technological appeal. Many advanced ceramic manufacturing methods depend on external pressure, specialized furnaces or high-energy consolidation steps to achieve the desired structure. A pressureless route instead relies on controlled heating and the chemical affinity between silicon and nitrogen. If the reaction can be managed uniformly, manufacturers could potentially create intricate silicon nitride components without applying mechanical pressure during conversion, simplifying equipment requirements and expanding the range of printable geometries.

Silicon nitride is an especially attractive target because it combines several properties that are difficult to obtain in a single engineering material. It can withstand high temperatures, resist wear and corrosion, and maintain useful mechanical performance under demanding conditions. Those characteristics have made silicon nitride relevant to applications ranging from bearings and cutting tools to heat-resistant components and advanced energy systems. A porous version offers additional possibilities, including lightweight structures, filtration, thermal management and engineered surfaces where controlled pathways through the material are valuable.

The study’s attention to porosity is equally important. In reaction-bonded ceramics, pores are not merely defects; they can serve as channels for reactant transport. At the same time, excessive or poorly distributed porosity can weaken the final component and interfere with complete conversion. The scientific challenge is therefore to balance openness and strength. The printed silicon body must remain permeable enough for nitrogen to reach its interior, while the reaction must generate a coherent silicon nitride framework rather than leaving unreacted silicon or creating damaging gradients.

By examining components of different sizes, the researchers are addressing a question with direct implications for industrial design: can processing rules developed for small printed samples be applied to larger parts? The answer depends on how reaction kinetics, diffusion and heat transfer scale with geometry. A process that appears reliable in a small coupon may produce a different result in a thick wall, enclosed channel or complex lattice. Understanding those differences can help engineers determine allowable dimensions, optimize furnace schedules and design structures around the chemistry of nitridation rather than treating manufacturing as a purely geometric exercise.

The broader significance of the work lies in the convergence of three fields: powder-based additive manufacturing, reaction-bonded ceramics and transport-driven materials processing. Instead of printing a finished ceramic directly, the approach uses additive manufacturing to create a carefully engineered precursor and then transforms it chemically. That strategy could unlock shapes that are difficult to machine from dense silicon nitride, while reducing the need for conventional molds and tooling. As manufacturers seek lighter, more complex and more resource-efficient components, controlling size-dependent reactions may become as important as improving printer resolution.

The research arrives at a moment when additive manufacturing is moving beyond demonstrations of intricate shapes toward repeatable production of functional materials. Its emphasis on pressureless nitriding of binder jet additively manufactured silicon highlights a practical bottleneck often hidden behind spectacular 3D-printing images: the printed object is only the beginning. The final performance depends on what happens during post-processing, when gases, heat and chemical reactions determine the internal structure. By clarifying how component size influences that transformation, Aguirre, Cakmak, Richardson and their collaborators are helping map a route from powder and binder to porous silicon nitride parts designed for the high-temperature technologies of the future.

Subject of Research: Porous reaction-bonded silicon nitride produced through pressureless nitriding of binder jet additively manufactured silicon, with a focus on size effects.

Article Title: Porous reaction-bonded silicon nitride: Size effects for pressureless nitriding of binder jet additively manufactured silicon

Article References: Aguirre, T.G., Cakmak, E., Richardson, M.D. et al. “Porous reaction-bonded silicon nitride: Size effects for pressureless nitriding of binder jet additively manufactured silicon.” npj Advanced Manufacturing (2026). https://doi.org/10.1038/s44334-026-00110-y

Image Credits: AI Generated

DOI: 10.1038/s44334-026-00110-y

Keywords: Silicon nitride, reaction-bonded ceramics, pressureless nitriding, binder jet additive manufacturing, silicon, porous materials, size effects.

Forget Lasers—Researchers Just Created Quantum Entanglement Using Sunlight

8 August 2026 at 15:58

Lasers are no longer required to produce quantum entanglement, physicists say, after achieving the state using sunlight. In a laboratory experiment, an international team of researchers demonstrated that natural sunlight can produce quantum-entangled photon pairs.

The researchers recently published their quantum entanglement study in Optica, showing that lasers aren’t the only game in town. The work could herald a new energy-efficient approach to sustainable quantum technologies, both on Earth and in space.

Quantum Entanglement

Quantum technologies such as computing, communications, and sensing rely on the strange principles of quantum mechanics, which often defy explanations rooted in classical physics. Typically, quantum technologies use lasers to convert photons inside a nonlinear crystal into entangled pairs through a process called spontaneous parametric down-conversion (SPDC).

Prior to this work, using sunlight to produce quantum entanglement in photons was largely considered impractical. Researchers had assumed that SPDC depended heavily on phase-stable electromagnetic fields, requiring the high coherence of laser beams. Scientists also believed that the intense power of lasers was crucial to the nonlinear processes that produce entanglement. By contrast, sunlight’s relative weakness and incoherence left it largely overlooked as a viable source for generating entangled photons.

Reconsidering Coherence

Earlier work may have dismissed sunlight too readily because scientists had not fully considered the different dimensions of coherence. Across different parameters, sunlight can exhibit varying degrees of coherence. This means that while a beam of sunlight may be coherent in a particular property, such as polarization, it can still generate quantum entanglement along that parameter.

“As long as the pump beam is perfectly polarized, its spatial or temporal incoherence should not preclude the generation of polarization entanglement,” said lead author Cheng Li in a statement.

“The trick to harnessing sunlight is to keep different degrees of freedom of light from influencing each other during the process,” Li added. “This means that sunlight is perfectly capable of generating entangled photons, as long as one can concentrate enough sunlight into a nonlinear crystal to induce SPDC.”

Directing Sunlight

In a natural environment, sunlight spreads across a broad area rather than remaining tightly focused like a laser beam. Efficiently directing it through a nonlinear optical crystal, only a few millimeters wide, therefore presents a significant challenge.

To overcome this obstacle, the researchers constructed a sunlight concentration system that collects light across a 1.4-square-meter surface and focuses it down to approximately the width of a human hair. The specialized solar concentrator is conical rather than flat and is constructed from glass. As sunlight reflects repeatedly across the interior surface on its way toward the cone’s tip, it becomes progressively concentrated and intensified before traveling through a single optical fiber to drive the SPDC process that generates quantum entanglement.

Quantum Entanglement Results

In laboratory tests, the researchers found that their sunlight-driven SPDC system produced performance comparable to that of a laser, achieving 94% fidelity. The efficiency of the entanglement process was also similar to that achieved with laser-based systems. Together, these findings challenge previous assumptions that SPDC requires highly coherent laser light to operate effectively.

The approach also eliminates the need to first convert electrical energy into optical energy, potentially reducing system complexity, heat generation, and points of failure.

“Sunlight is an abundant and reliable resource in many environments, especially in space. Being able to generate quantum-entangled photons directly from sunlight could enable simpler and more resilient quantum systems for satellites and future deep-space missions,” said Hanieh Fattahi, the study’s co-author, in a statement.

“We believe this work can inspire much new research in nonlinear and quantum optics,” Fattahi said, adding that this research “may in turn make sunlight-driven quantum technology more practical.”

The paper, “Generating Quantum Entanglement from Sunlight,” appeared in Science Advances on August 5, 2026.

Ryan Whalen covers science and technology for The Debrief. He holds an MA in History and a Master of Library and Information Science with a certificate in Data Science. He can be contacted at ryan@thedebrief.org.

Ingenious System of Hidden Drainage Channels Discovered Beneath the Orchestra of the Roman Theater of Catania

Researchers from the University of Catania, in collaboration with the Archaeological Park of Catania and the Valley of the Aci, have located beneath the stage of the Teatro Antico a network of underground channels that in Roman times was used to intercept and evacuate groundwater toward the sea. The discovery, the result of a geoarchaeological […]

This Fingertip Patch Tracks Parkinson’s Medication Using Sweat

Fingertip View of Wearable Levodopa Monitoring DeviceA battery-free sweat sensor could make levodopa monitoring faster and more personalized for people with Parkinson’s disease. For people with Parkinson’s disease, the effect of a levodopa dose can fade abruptly, allowing movement problems to return before the next scheduled dose. Engineers and neuroscientists at the University of California San Diego have developed a soft [...]

AI agents automate atom-by-atom simulations to accelerate discovery of new materials

7 August 2026 at 18:20
A team from the U.S. Department of Energy's (DOE) Argonne National Laboratory has successfully demonstrated an artificial intelligence (AI)-driven system to automate a powerful simulation method that predicts how atoms in materials interact. Known as atomistic simulations, this method can potentially accelerate the discovery of materials for areas such as batteries, aerospace and electronics. The research is published in the journal Digital Discovery.

Generative AI: Modeling a proper cuppa from a proper pot

6 August 2026 at 19:20
The Yixing Zisha teapot sits neatly at the intersection of art, engineering and heritage. As such, it makes for an intriguing test case for a technology increasingly taking on creative tasks across almost every field of human endeavor: artificial intelligence, or AI. Research published in the International Journal of Systems, Control and Communications describes a computational system that can help AI generate new teapot designs without losing the cultural characteristics that make the craft distinctive.

Heat treatment improves strength-ductility balance of 3D-printed aluminum bronze for electronic components

6 August 2026 at 16:00
Researchers from Skoltech—a VEB.RF group institution—and their colleagues from State Marine Technical University and others have found a way to improve the balance between the mechanical strength and ductility of 3D-printed aluminum bronze. An alloy of copper and aluminum with a minor addition of iron, this material is a promising candidate for making additively manufactured heat exchange units that cool sensitive electronic components, such as processors.

“Surpassing the Evolutionary Boundaries of Biological Photoreception”: Scientists Invent Eyeglasses That Let Wearers See the Infrared in Full Color

6 August 2026 at 14:00

Scientists from the Beijing Institute of Technology have revealed a colloidal quantum dot (CQD)-based infrared-to-visible upconverter that transforms the infrared spectrum into full color, allowing people to ‘see’ the infrared in the visible light spectrum.

The research team behind the novel invention said their upconverter can be used in eyeglasses to improve human vision and for augmented reality (AR) applications. They also reported a successful implantation of an upconverter in mice, opening the possibility of an implantable photoreceptor to repair or improve vision in human eyes.

Attempts to Convert Infrared to Full Color Face Limitations

In a published study detailing the novel, full-color IR glasses, the human eye is “inherently blind” to infrared radiation. Although IR radiation interacts with the retina, infrared wavelengths lack the energy to trigger the photoisomerization of the retinal chromophore that lets people distinguish colors. As a result, humans don’t have visual access to over half of the solar spectrum.

Still, the researchers write, “harnessing this imperceptible radiation is critical, as infrared perception unlocks a vast reservoir of inaccessible information.” For example, this added visual information enables critical functions in other animals, such as navigation in darkness or detecting predators and prey from their heat. Still, they observe that our natural visual-light spectrum vision is “utterly inadequate” to access this information that so many animals rely upon.

In their study, the researchers highlight recent advances in accessing the IR spectrum, including “ocular injectable photoreceptor-binding upconversion nanoparticles” that convert infrared light into visible emissions. Other studies have also evaluated wearable lenses with nonlinear upconversion projecting infrared-transformed visible light onto the cornea and photovoltaic nanowire networks.

Although these approaches achieved some IR sensitivity, the study authors said they remain “fundamentally constrained” to narrow near-infrared (NIR) spectral response. These prior efforts also relied on high-intensity laser excitation that the team notes is “incompatible with natural infrared radiation.” The result is a “mostly monochromatic output” lacking infrared spectral discrimination in full color.

Subtle IR Wavelength Variations Facilitate Upconversion

For their new approach, the research team investigated a mercury telluride (HgTe) CQD-based infrared-to-visible upconverter. They note that this material combination leverages the material’s “quantized energy level states” in synergy with a separate, dual-emissive-layer organic light-emitting diode (OLED).

Specifically, the engineered layers captured IR photons in strategically engineered hole-trapping barriers. The team explains that this “allows for subtle differentiation of infrared input by tuning the emitted visible color and luminance” based on infrared wavelength and intensity.

see infrared in full color
Above: The infrared-to-full-color upconverter is applied as (A) the wearable eyeglass and (B) the new-generation retinal photoreceptor (Image credit: Fu, C., Zou, J., Yang, X., Hao, Q., Tang, X., & Mu, G. (2026). Multispectral infrared-to-full-color upconversion expanding human vision).

“This upconversion yields a discrimination sensitivity to subtle infrared variations exceeding two orders of magnitude higher than conventional single-color modes, capitalizing on the human eye’s intrinsic superiority in chromatic differentiation over simple luminance contrast,” they explain.

To test their material’s IR upconversion ability, the researchers designed a pair of lightweight (23 grams) semi-transparent wearable eyeglasses. The team said these tests were a success, achieving “high-resolution infrared imaging” derived from the infrared spectral information. However, instead of monochrome, the research team said that data is displayed as full-color visible patterns directly onto the retina, “enabling intuitive infrared vision without obstructing natural sight.”

Surpassing the Evolutionary Boundaries of Biological Photoreception

Although the current version of the full-color, infrared-capable glasses is still in the development stages, the team said the technology could lead to advancements in visual prosthetics, augmented reality (AR), and “navigation under environmental conditions where normal sight is degraded.”

Following the successful validation in mice, the team said their technology could also serve as the technological basis for an implantable new-generation retinal photoreceptor. In that design, the team said an implanted device could transform infrared light into visible light emissions “that stimulate light-sensitive proteins on retinal neurons to bypass damaged photoreceptor cells and potentially restore visual function across both the visible and infrared spectra.”

“By surpassing the evolutionary boundaries of biological photoreception, this technology paves the way for next-generation visual prosthetics, high-fidelity augmented reality, molecularly sensitive substance identification, and robust navigation in degraded visual environments,” they conclude.

The study “Multispectral infrared-to-full-color upconversion expanding human vision” was published in Science Advances.

Christopher Plain is a Science Fiction and Fantasy novelist and has spent the last six years as Associate News Editor and Head Science Writer at The Debrief. Follow and connect with him on X, learn about his books at plainfiction.com, or email him at christopher@thedebrief.org

Five ways to evaluate AI agent orchestration platforms

5 August 2026 at 10:00

AI agent orchestration platforms coordinate role-based and task-based AI agents, along with the tools, data, and people they depend on, into multistep workflows. These platforms are highly important for organizations scaling from handfuls to thousands of AI agents running in production.  

Two open standards do the connective work: MCP (Model Context Protocol) gives agents governed access to tools and data, while A2A (Agent2Agent) lets agents discover and delegate to one another, including agents built on other platforms. The orchestration layer sits on top, adding the routing, shared state, guardrails, governance, security, and observability needed to run workflows that range from fully autonomous to human-in-the-loop.

AI orchestration platforms may be the hottest AI technology of the year. In researching this article, I identified more than 60 commercial and open source platforms that businesses can use as a control plane to manage work between AI agents, people, and automations.

Like data fabrics and automation platforms, I suspect enterprises will utilize more than one AI agent orchestration platform. Platforms are being released by hyperscalers and solution providers in enterprise SaaS, process automation, customer experience, data management, AIops, and IT infrastructure. Development-centric platforms include open source, commercial, and no-code integration solution providers.

Here are five considerations when reviewing AI agent orchestration platforms.

1. Observable control, oversight, and trust

AI agent orchestration platforms are non-deterministic and leverage AI capabilities to coordinate responses and actions across AI agents. One area to evaluate is how administrators implement controls and guardrails over which AI agents can coordinate with others and under what circumstances. Additionally, platforms should also have controls on when and where people should be involved before taking action.

“CIOs should focus on how the AI orchestration platform clearly applies controls over autonomous decision-making,” says Heather Richards, global vice president of go-to-market strategy at Verint. “Ideally, the platform makes it easy to define who or what can take actions, how decisions are approved, and where accountability sits when something goes wrong. If orchestration doesn’t have built-in governance, visibility, and human override, it will scale risk faster than it scales value.”

Observable AI agents are primary capabilities for tracing how they interact and where decisions are made. But even more important is to review how platforms govern access to the context layer, which can include retrieval-augmented generation (RAG) for language models, knowledge graphs, and semantic layers.

“When evaluating an AI orchestration platform, organizations should consider whether governance and observability were built into the architecture from day one,” says Caitlin Schuman, director of AI strategy and customer innovation at Presidio. “A strong platform should make it clear what context is being used and should have a control layer that routes work across systems, agents, and humans.”

Deploying trustworthy AI agents is important for gaining employee adoption. Charles Crouchman, chief product officer at Redwood Software, suggests evaluating how an AI agent orchestration platform establishes trustworthy operations with enterprise resources. He recommends asking these five questions:

  • Can it connect to the systems actually running your business?
  • Can it be trusted to execute mission-critical logic across your ERP, supply chain, and finance platforms?
  • Does it provide deterministic guardrails for non-deterministic AI, so agents can’t go rogue in production?
  • Is it model-agnostic, so you’re not locked into a single LLM or agent framework as the landscape shifts?
  • Can you govern at scale with full audit trails, observability, and accountability?

“Validating these answers moves you from disconnected AI  reasoning to real execution, empowering you to take the next step towards an autonomous enterprise,” says Crouchman.

2. Secure and resilient operations

AI agent orchestration platforms centralize a growing number of operational workflows, so it’s important to evaluate whether their security, performance, reliability, and resiliency meet compliance and non-functional requirements.  

“Deploying agents is the easy part; the hard part is ensuring they operate safely, consistently, and in coordination with the people and systems around them,” says Daniel Meyer, CTO at Camunda. “Orchestration platforms should enforce controls between an agent’s decision and its action, handle long-running processes without losing state, and maintain a full audit trail natively.”

Organizations should also consider how platforms support agentic ops practices for identity management, monitoring, AI agent accuracy, and incident management.

“Don’t just seek solutions that coordinate workflow or handle the life cycle of an agent; also seek solutions that get the answers agents need faster, with more accuracy, all while meeting essential security and compliance requirements,” says James Urquhart, field CTO and technology evangelist at Kamiwaza. “A platform that securely coordinates context gathering and result formulation across widely disparate infrastructures and data sources is essential, not only to the performance of AI in the enterprise, but also to its agility.”

3. Integrated testing and feedback

Testing AI agents requires validating changes before deployment, just as with continuous testing for applications and APIs. But it also requires evaluating prompts, responses, and actions in production and ensuring that agents aren’t drifting from expected parameters or going rogue. One area in which AI agent orchestration platforms differ is how they support testing AI agents, monitoring them in production, and providing a centralized source of feedback to support accuracy improvements.

“When selecting an AI orchestration platform, don’t overlook where the software it produces actually gets tested and validated,” says Jean-Philippe LeBlanc, senior vice president of engineering at CircleCI. “AI can accelerate every stage of development, but without rigorous, automated validation integrated into the delivery pipeline, you’re compounding risk at the same rate you’re compounding velocity.”

Armando Franco, senior director of cloud and platform modernization at TEKsystems Global Services, says, “The criterion that actually matters is whether continuous outcome evaluation is a first-class capability of the platform itself, because without it, iteration speed collapses and the program stalls.”

4. Interoperability and open standards

MCP and A2A are two ways AI agent orchestration platforms support open standards and enable connecting to an ecosystem of agents. Many platforms also allow developers to select and replace the underlying AI models and to choose from a range of AI code-generation tools. These flexibilities ensure teams can optimize around performance, accuracy, compliance, costs, and other future considerations.

“When evaluating an AI orchestration platform, we look first at composability and interoperability,” says Rajesh Arora, chief data and analytics officer at Principal. “The real test is not how many features it offers today, but whether it can connect models, data sources, agentic solutions, and workflows in a way that adapts to our AI strategy, tech stack, and changing business needs.”

Other interoperability criteria to review include the platform’s AI agent cataloging capabilities, how permissions are configured dynamically, and whether prebuilt connectors are available for the required integrations.

5. Vendor viability and road map

Leaders recognize that AI is currently reshaping business more than driving transformation. To be successful, organizations require AI governance that keeps up with strategy and doesn’t lag too far behind. The same is true for AI agent orchestration platforms, so it’s important to review their release notes and road maps to see whether providers strike a reasonable balance between innovation and governance.

“The right orchestration platform provides a unified policy layer that follows work across agents, workflows, and AI tools, enabling your teams to build freely while IT and security maintain full visibility at the action and output levels,” says Brandon Sammut, chief people and AI transformation officer at Zapier. “If your governance can’t keep pace with how fast your people are building, you’ll either slow them down or lose sight of what they’re building.”

Since AI agent orchestration platforms are a new category, technology leaders should partner with their financial, legal, and compliance colleagues to assess vendor viability risks. In addition, reviewing customer adoption and support capabilities is important as top solution providers will continue to evolve their platforms.   

“A mature provider offers both a stable platform and the customer support you’ll need, and with a large customer base, they’ve already hit countless edge cases that can smooth your own implementation,” says Hannes Hapke, director of the 575 Lab at Dataiku. “Assess maturity by looking at funding and financial backing, the clarity and consistency of their public road map, and the size and activity of their community. An engaged user base, active forums, and a healthy ecosystem of integrations all signal a provider that will still be standing when you scale.”

Many organizations are still early in adopting AI agents and transitioning proofs of concept into production. But for those deploying a growing number of AI agents across many platforms, selecting an AI agent orchestration platform enables scaling workflows, operations, and governance. 

Scientists Develop New 3D Printing Method That Can Build Directly Onto Existing Objects in Seconds

4 August 2026 at 16:54

Researchers have demonstrated an unusual new form of 3D printing capable of building entirely new structures directly onto—and even around—existing objects in just seconds. In a series of experiments, the technique printed microscopic fluid channels around embedded glass spheres, fabricated precision gears onto polished steel rods, and even built a miniature lens directly onto the surface of a working LED.

The breakthrough, described in a paper published in Nature Communications, relies on an advanced form of tomographic volumetric additive manufacturing (TVAM) that allows researchers to “overprint” new structures onto components made from a wide range of materials, including metal, glass, and preassembled microfluidic components. Instead of constructing objects layer by layer like conventional 3D printers, the system projects precisely calculated light patterns into a rotating vat of photosensitive resin, causing an entire three-dimensional object to solidify almost simultaneously within seconds.

The advancement could represent a major step toward making volumetric 3D printing practical in real-world manufacturing environments, where new components often must be integrated with parts that already exist.

It additionally highlights the growing sophistication of computational techniques that can accurately model how light behaves as it passes through materials that absorb, scatter, refract, or reflect light.

“Tomographic Volumetric Additive Manufacturing (TVAM) is a light-based 3D printing technique capable of producing centimeter-scale objects within seconds,” researchers write. “This work demonstrates a broad range of overprinting scenarios, where new structures are directly printed onto or around pre-existing components made from different materials.”

Unlike conventional stereolithography or fused-filament printers that gradually build an object from one direction, tomographic volumetric printing projects hundreds of two-dimensional light patterns into a rotating container filled with liquid resin.

As the resin accumulates enough light energy, the desired three-dimensional structure appears almost simultaneously throughout the volume rather than emerging layer by layer. The approach can produce centimeter-scale objects in mere seconds.

However, until now, one of the technology’s greatest challenges has been accurately calculating how light travels through complicated environments.

Existing objects inside the resin can block, scatter, or bend incoming light, degrading print quality. Conventional models often assume these objects are either completely transparent or completely opaque. This is an oversimplification that breaks down in realistic manufacturing scenarios.

To overcome those limitations, the team developed an upgraded computational framework called Dr.TVAM. Built upon physically based ray tracing, the software models how light propagates through materials with different optical properties while simultaneously optimizing the projected light patterns needed to create the desired object.

Because the framework accounts for reflection, refraction, scattering, absorption, and arbitrary container shapes, it can successfully print structures around components that previously would have interfered with the process.

One of the study’s most compelling demonstrations involved manufacturing microfluidic channels directly inside sealed, preassembled square chambers. Microfluidic devices contain microscopic channels that transport tiny volumes of liquids and are widely used in biomedical research, diagnostics, and organ-on-a-chip systems.

Instead of fabricating the channels separately and assembling the device afterward—a process that can introduce contamination or leaks—the researchers successfully printed perfusable channels directly inside an already assembled chamber while accounting for inlet and outlet structures that would otherwise obstruct the light.

They demonstrated straight channels, branching networks, and spiral geometries capable of carrying fluid after fabrication. Supplementary demonstrations showed colored dye successfully flowing through the finished structures.

The researchers then pushed the concept even further by creating what they describe as context-aware printing. In this experiment, they embedded two tiny glass spheres inside a hydrogel-filled chamber, rapidly determined each sphere’s three-dimensional position using two camera images, and generated customized print patterns in less than a minute.

Those optimized projections produced hollow channels connecting each sphere to inlet and outlet ports while simultaneously printing protective cavities around the spheres themselves. The complete workflow—from detecting the embedded objects to generating printing instructions and fabricating the final structure—required less than three minutes.

That ability could eventually enable highly customized biomedical manufacturing, where printers automatically adapt to the precise location of living tissues, organoids, or other biological materials rather than requiring perfect positioning beforehand.

Another experiment highlighted why precisely modeling light matters.

Previous demonstrations of volumetric overprinting treated metal components as though they completely absorbed incoming light. In reality, polished metal reflects and scatters significant amounts of light, creating distortions that reduce print quality.

Researchers tested both assumptions by printing a gear directly onto a polished steel rod. When the software ignored scattered light, the gear’s fine holes became over-polymerized and poorly defined.

After including realistic scattering behavior into the optical model, however, the resulting gear preserved those elaborate features far more accurately, increasing simulated print fidelity substantially. The improvement was confirmed experimentally.

Researchers even went as far as demonstrating that the process could print directly onto an electronic component.

Using an LED-based volumetric printing system, the researchers fabricated both a miniature lens and a small cross-shaped symbol directly onto the surface of a red LED. When illuminated, the printed lens projected the symbol onto a screen, successfully transforming the LED into a tiny optical projector without requiring additional assembly. The experiment showcased how optical elements themselves could potentially be integrated directly onto existing electronic hardware during manufacturing.

Beyond the individual demonstrations, the work additionally underscores an important trend in additive manufacturing: increasingly sophisticated software is becoming just as important as advances in hardware.

Instead of relying on simplified mathematical approximations, the new framework performs physically based optical simulations capable of modeling arbitrary geometries along with material properties.

The software has been released as open source, along with configuration files and experimental data, allowing other researchers to reproduce and expand upon the 3D printing work.

Although the current demonstrations remain laboratory-scale, the possible implications could extend well beyond experimental 3D printing. Biomedical researchers could eventually fabricate sterile microfluidic systems without multi-step assembly. Optical engineers may integrate lenses directly onto light sources. Manufacturers could add custom features to finished components without redesigning entire production processes.

Researchers also note that future improvements could further increase realism through incorporating additional physical effects, including changes in refractive index during polymerization and the diffusion of chemical inhibitors during printing. Those refinements could expand the technology’s accuracy and enable even more complex manufacturing scenarios.

“In summary, Dr.TVAM, our computational framework, has shown to be capable of modeling different optical situations for TVAM,” researchers write. “We believe this significantly expands the application space for TVAM, enabling the creation of complex, functionalized, and multi-component devices from applications in mechanics, optics, or biofabrication.”

Study: Wechsler F, et al. “Overprinting with tomographic volumetric additive manufacturing.” Nature Communications (2026).

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 

Metasurface Breakthrough Makes Blistering Laser Light Speeds a Reality

4 August 2026 at 13:24

The speed of laser light is due for a major upgrade after an international collaboration of scientists has developed a breakthrough nanomaterial. The new metasurface can steer and shape light beams at unprecedented speeds of just 74 quadrillionths of a second.

Scientists at UC Berkeley and Tel Aviv University revealed their new optical surface, developed in a Caltech lab, in a recent paper published in Nature Nanotechnology.

According to the team behind the breakthrough, their work will have ramifications for communications, sensing, imaging, and even quantum technologies, providing a new benchmark for “high-speed” light manipulation.

Light Control

Since the fiber-optic advancements of the 1980s, lasers and light pulses have underpinned some of our most crucial cutting-edge technologies. Advanced computers, communications systems, sensors, and even the elusive quantum systems all rely on controlling light.

While the speed of light is so incredibly fast that physicists consider it a constraint on the maximum speed that matter can travel through the vacuum of space, the speed at which our technology reacts to it is far slower.

The scientists’ breakthrough metasurface contains silicon structures even smaller than the wavelength of light, resulting in an ultra-thin surface. Silicon’s optical properties change upon bombardment with laser pulses, a property that the team strongly enhanced with their nanostructure design. In their design, the properties of the material are modified via light pulses, which alter how the material influences a second beam of light impacting its surface. Notably, their metasurface allows for control of a beam of light without any moving parts, such as mirrors or lenses.

Real World Results

The team conducted laboratory tests in which they manipulated light beams by up to 13 degrees and reshaped them into different patterns.

“The key idea was to create a metasurface whose optical response is not fixed once it is fabricated,” said lead author Dr. Claudio Hail. “By changing the illumination pattern, we can reconfigure how the device steers and shapes light, and do so on an ultrafast timescale.”

“For me, the most exciting aspect is seeing an idea that had been with us for years become an experimental reality,” said co-author Dr. Lior Michaeli. “The ultrafast effect we wanted to use is naturally very weak. We had to design the metasurface so that it would amplify the effect enough not only to measure it, but to use it to steer and shape light.”

While the metasurface produced record-breaking speeds under laboratory observations, exactly how fast it can operate remains uncertain. The researchers note that the switching time and the duration of the laser pulse were extremely close, which indicates that quicker pulses could push the optical surface’s speed even higher.

The Future of Light Technologies

One of the major potential advances that could come from this new metasurface includes systems that carry information primarily with light, end-to-end. Current communications systems use light to transmit messages, but those messages are converted into electrical signals for processing. By increasing the speed at which light can be manipulated, this would reduce the necessity to convert light signals into electrical ones, removing unnecessary actions in computing.

“This work points to a broader opportunity: using engineered structures to strengthen interactions between light and matter and turn them into tools for control, sensing, and information processing,” Dr. Michaeli said. “This is closely connected to research directions we are now pursuing at Tel Aviv University.”

Despite its promise, the work is still in the fundamental phase. Although not yet ready for practical use, the metasurface offers promise in future ultra-fast computing applications, where it may soon help to cut out the middleman of electronic conversion.

The paper, “Ultrafast, Reconfigurable All-Optical Beam Steering and Spatial Light Modulation,” appeared in Nature Nanotechnology on June 22, 2026.

Ryan Whalen covers science and technology for The Debrief. He holds an MA in History and a Master of Library and Information Science with a certificate in Data Science. He can be contacted at ryan@thedebrief.org.

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