Norman Noble expands final inspection capabilities with advanced 3D optical metrology system

Norman Noble, Cleveland, Ohio announced the installation of a high-performance 3D optical metrology system to enhance final inspection of complex medical implants, including contoured stents and heart valve frames. The new system is designed to measure challenging geometries and reflective surfaces with exceptional speed and precision.

Featuring a pivoting illumination head, the system captures detailed, non-contact surface measurements on parts with small diameters and steep angles. The technology improves Norman Noble’s ability to inspect critical-to-function features and maintain stringent quality standards for its OEM customers.

Annie Wolfe, director of quality, explained that the automated visual inspection platform provides high-resolution data and greater measurement accuracy, supporting the company’s ongoing commitment to precision manufacturing and quality assurance.

The upgraded inspection capabilities allow engineering and quality teams to validate intricate surface profiles with increased repeatability, resulting in faster development cycles, reduced production risk, and improved consistency across parts. Norman Noble stated that this investment underscores its leadership in advanced inspection technologies for medical implant manufacturing.

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One Minute Mentor: Effects of cyclic treatments on martempered L3 steel

The effects of various subcooling and tempering cycles on martempered L3 steel were investigated with changes in specimen length tracked throughout the treatments. All length changes were measured relative to the original, as-martempered state.

The study included four treatment protocols, each maintaining a total tempering time of 10 hours at 120 °C (250 °F), though distributed differently across cycles:

  • Treatment A: Specimens were cooled to −195 °C (−320 °F), then cycled ten times between 20 and 120 °C (68 and 250 °F), holding for 1 hour at 120 °C in each cycle.
  • Treatment B: Samples were tempered for 1 hour at 120 °C, then cooled to −195 °C and held for 1 hour. This sequence was repeated for a total of ten cycles.
  • Treatment C: Specimens were first cooled to −195 °C and held for 1 hour, then tempered at 120 °C for 1 hour. This subcooling-tempering sequence was also repeated ten times.
  • Treatment D: Specimens were cooled to −195 °C and then tempered continuously for 10 hours at 120 °C.

For clarity, the length changes from Treatment D were omitted from the associated figure (Fig. 3), though its net expansion was found to be comparable to that of Treatment A.

Results indicated that the first two refrigeration cycles following martempering were effective in reducing retained austenite in L2 and L3 steels. However, additional cycles beyond the initial two offered no significant benefit. Regardless of cycle structure, maintaining a cumulative tempering time of 10 hours at 120 °C appeared to be a critical factor for dimensional stability.

Two particularly effective strategies combining tempering and subcooling were highlighted:

  • Temper for 1 hour at 120 °C, subcool, repeat the cycle, then temper continuously for an additional 8 hours.
  • Subcool, temper for 1 hour at 120 °C, subcool again, then temper continuously for 9 hours.

These approaches suggest that combining initial subcooling with sufficient cumulative tempering can effectively stabilize the microstructure and dimensions of martempered L3 steel.

Wisconsin Oven ships custom batch oven to leading space exploration company

Wisconsin Oven Corporation, East Troy, Wisconsin announced the shipment of a custom electrically heated batch oven to a major space exploration company. The system will be used to stress relieve titanium components and is equipped with a powered load/unload table to support automated processing.

Designed for a maximum operating temperature of 1,250°F, the oven delivers temperature uniformity of ±15°F at set points ranging from 350°F to 1,200°F. Uniformity was verified through a nine-point temperature profile prior to delivery. The unit features a top-down airflow configuration for consistent heat distribution across the entire load.

The oven can process loads up to 1,200 pounds per cycle. Titanium parts are positioned on a high-strength grid and moved into the 7-foot wide by 10-foot long by 3-foot high work chamber using an automated pusher/extractor system. Post-process cooling is achieved by six high-speed fans that direct ambient air upward over the parts.

The control system includes an Allen-Bradley CompactLogix PLC and industrial PC with a 24-inch monitor. Operators can configure up to 50 custom recipes with 20 programmable steps each and access batch control, material handling, and real-time monitoring from a single interface. Additional features include guaranteed soak control, automatic thermocouple selection, detailed batch reports, and an integrated UPS battery backup.

Wisconsin Oven noted that the system meets AMS 2750G, Class 3, Instrumentation Type A standards. Vice president of sales Mike Grande stated that the oven’s precision temperature control and airflow design enable high-quality processing for demanding aerospace applications.

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Constellium extends supply partnership with Embraer for advanced aerospace aluminum solutions

Constellium, Paris, France announced the extension of its long-term agreement with Embraer to supply advanced aluminum materials, including its proprietary aluminum-lithium alloy, Airware. The renewed partnership will continue to support Embraer’s Commercial Aviation, Executive Jets, and Defense & Security divisions.

Under the agreement, Constellium will provide high-performance aluminum products designed to meet the aerospace industry’s demand for lightweight, durable materials in critical structural applications.

Philippe Hoffmann, president of Constellium’s aerospace and transportation business unit, stated that the contract reinforces the company’s commitment to supporting Embraer’s growth and aligns with its broader strategy to meet increasing global demand for advanced materials in aerospace programs.

Roberto Chaves, executive vice president of global procurement and supply chain at Embraer, noted that the continued partnership is built on a foundation of quality, reliability, and collaboration, and supports efforts to strengthen the supply chain while advancing sustainable growth.

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Fujian Fuwei selects Harper International for commercial-scale carbon fiber production equipment

Harper International, Buffalo, New York announced that it has been selected by Fujian Fuwei Advanced Material Co., Ltd. to supply a commercial-scale carbonization line for carbon fiber manufacturing. The equipment is scheduled for delivery to Fujian Fuwei’s facility in Yong’an City, Fujian Province in February 2026.

The turn-key thermal processing system includes three-meter-wide oxidation ovens, low- and high-temperature furnace systems, surface treatment systems, waste gas abatement, and integrated controls and auxiliary operations. The custom-engineered line is designed to enhance fiber quality through improved oxidation rates, greater temperature and velocity uniformity, and precise reaction control.

This order forms part of the first phase of Fujian Fuwei’s high-end materials investment project, valued at 2.3 billion yuan (approximately $320 million), which targets an annual carbon fiber production capacity of 4,000 metric tons. The long-term plan spans 1,142 acres and envisions scaling to 50,000 metric tons per year.

Harper noted that its technology and on-site support services are designed to accelerate commissioning and reduce time-to-market for new production lines. Company vice president Paul Elwell stated that Harper’s carbonization systems remain a preferred choice for manufacturers seeking to reduce commercialization risk while achieving advanced fiber quality.

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Solar Atmospheres begins installation of advanced titanium drop bottom furnace in Pennsylvania

Solar Atmospheres, Hermitage, Pennsylvania announced the start of installation for a new titanium drop bottom water quench furnace at its Western PA facility. The furnace is engineered for high-performance heat treatment of titanium components, with a maximum operating temperature of 1850°F ±10°F.

Designed to process loads up to 7,500 pounds, the furnace chamber measures 14 feet in length, 54 inches in width, and 48 inches in height. Workloads will be rapidly transferred into a 7,000-gallon recirculated water quench tank within seconds, ensuring uniform metallurgical properties critical to aerospace and industrial specifications.

The installation represents a strategic investment in expanding the company’s titanium solution treating capabilities. Solar Atmospheres stated that the project reinforces its commitment to delivering precision thermal processing solutions tailored to customer demands in high-performance sectors.

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How Argonne is helping to expand the Quantum Prairie

Silicon Valley may have led the digital revolution, but Illinois is emerging as a hub for quantum innovation, dubbed the “Quantum Prairie.” Anchored by institutions like the U.S. Department of Energy’s Argonne National Laboratory, the region is attracting both tech giants and startups focused on quantum information science. Researchers are now harnessing quantum physics—first discovered over a century ago—to revolutionize fields such as computing, medicine, and finance, using atomic-scale phenomena to build ultra-sensitive sensors and simulate complex physical systems.

“The pace of scientific discovery is truly remarkable, and the levels of global engagement have dramatically increased,” said David Awschalom, the Quantum Information Science and Technology group leader at Argonne, professor at the University of Chicago and director of Q-NEXT, a DOE National Quantum Information Science Research Center led by Argonne. “Quantum science is rapidly becoming a technology that will have both economic and security implications.”
Argonne is accelerating quantum information science in multiple ways, including creating materials for qubits, which are units of quantum data, and helping to build testbeds for quantum technology such as ARQNET, InterQnet, the Chicago Quantum Network and the Chicago Quantum Computing Testbed. At Argonne, the upgraded Advanced Photon Source (APS), the Center for Nanoscale Materials and the Argonne Leadership Computing Facility (ALCF) — all DOE Office of Science user facilities — have enabled such breakthroughs. In 2023, the Argonne Quantum Foundry was launched to develop scalable semiconductor quantum systems.

“Building quantum information systems requires new materials, different computing architectures, specialized devices and software. You need to look at how quantum computers will communicate with one another and also how they will connect to classical computer systems,” said Argonne Distinguished Fellow Michael Norman, director of the Argonne Quantum Institute. “At Argonne, we’re doing all of it.”

But the lab’s homegrown capabilities are only part of its role as a key player in a growing Midwestern quantum ecosystem. Through Q-NEXT, Argonne spearheads collaboration on quantum technologies. It is a founding member of both the Chicago Quantum Exchange, a University of Chicago-based community of more than 50 corporate, international, nonprofit and regional partners that launched and nurtured the Illinois-Wisconsin-Indiana quantum ecosystem, and Duality, the nation’s first quantum startup accelerator.

Argonne is also a key part of two federal designations: the Bloch Quantum Tech Hub, which was designated by the U.S. Economic Development Administration, and Quantum Connected, a Midwest coalition that is a National Science Foundation Regional Innovation Engine (NSF Engines) Development Awardee and a semifinalist in the national NSF Engines competition. And Argonne Laboratory Director Paul Kearns is on the Board of Managers for the Illinois Quantum and Microelectronics Park (IQMP), an in-progress campus in Chicago for quantum technology and microelectronics innovation.

The allure of Illinois for quantum tech
Building on this foundation, Illinois has announced multiple quantum technology initiatives and partnerships in an effort to make Illinois a global quantum capital. In 2024, the state and IBM announced the National Quantum Algorithm Center, which will be located at the IQMP, and quantum computing company PsiQuantum has signed on as the anchor IQMP tenant.

IQMP Executive Director and CEO Harley Johnson, who is also a professor of mechanical science and engineering at the University of Illinois Urbana-Champaign, points to the state’s research bona fides: top schools such as his employer, along with the University of Chicago and Northwestern University; two DOE national labs, Argonne and Fermi National Accelerator Laboratory, which also head up two of the five DOE National Quantum Information Science Research Centers; and a partnership with the U.S. Department of Defense, part of the larger Quantum Benchmarking Initiative (QBI), to be a “national proving ground” for quantum. Argonne is leading several of the teams vetting quantum computing companies for the QBI.

“That’s an incredible base to build on,” Johnson said. “Then, when you add the state government, nonprofits, economic development organizations and the companies that are already here, there’s a strong ‘team Illinois’ environment that comes across to potential partners. They see that we’re pulling in the same direction.”

Preeti Chalsani, chief quantum officer at the public-private economic development partnership Illinois Economic Development Corporation, said that when she participates in conferences, she hears talk of other states that want to replicate Illinois’ success in kickstarting the quantum industry.

“It’s not accidental that quantum is strong here,” Chalsani said, pointing to the state’s storied, multidisciplinary research history and assets such as Argonne’s APS and the ALCF, with its Aurora exascale computer. “Chicago and Illinois have done a really good job making researchers aware of quantum as not just a research enterprise, but a whole industry with lots of opportunities to collaborate.”

An ecosystem for quantum
The breadth of Argonne’s work in quantum information science, combined with the field’s increasing relevance, led the laboratory to create the Argonne Quantum Institute in October 2023. The institute coordinates research efforts both internally at the lab and with external partners, such as IBM, Infleqtion, Intel, Quantinuum and JPMorgan Chase. A recent article in Nature showcases the work of the latter two companies with Argonne scientists. Several scientists at the UChicago Pritzker School of Molecular Engineering, which has a core focus on quantum information research, conduct their work jointly at Argonne. The two institutions share several quantum-focused research initiatives as well.

The institute organizes quantum information research across four themes: computing and simulations; matter and materials; communications and networking; and quantum detecting and sensing. Recently, Argonne researchers developed an approach for controlling the collective magnetic properties of atoms in real time, which could be useful in quantum computers. Others are building qubits known as color centers at the Argonne Quantum Foundry.

“The fact that Argonne invests in the Quantum Foundry as a way to atomically engineer and construct materials has taken us from relying on external sources to provide materials over periods of months to performing everything inhouse within a day,” Awschalom said.

Some of the scientists working at Argonne are entrepreneurs who are building quantum companies with support from the lab’s two-year fellowship program, Chain Reaction Innovations. Founders of startups including memQ and Super.tech are Chain Reaction Innovations alumni. Quantum accelerator Duality, based at the University of Chicago and with Argonne as a founding partner, also provides funding and expertise to accepted startups. Both programs help connect entrepreneurs to the region’s larger quantum community and industry base.

“A lot of the work of startups relies on connections to research labs,” Chalsani said. “It also depends on connections to larger companies who could be strategic partners that can help with their product development or go-to-market strategy, or customers who would adopt their technologies. This work really cannot be done in isolation.”

Building the quantum workforce
The key to a quantum future is a strong workforce. Argonne invests in the next generation of quantum scientists by hosting summer research experiences for undergraduates, who receive hands-on training at the Argonne Quantum Foundry. And Q-NEXT, for which Argonne is the lead laboratory, has supported more than 150 students and postdocs over the past five years.

These initiatives address the rapidly growing demand for professionals with quantum materials and computational expertise, reinforcing Argonne’s commitment to empowering future scientific leaders.

“Quantum science won’t advance without the next generation,” Norman said. “Giving students and early-career researchers real lab experience, good mentors and a solid foundation is how we’ll keep Argonne at the forefront of this field. Our efforts here have been enabled by both Chicago Quantum Exchange’s Open Quantum Initiative program and DOE’s Science Undergraduate Laboratory Internships.”

Even though quantum information science has been progressing steadily over the past decade, specialized graduate programs have only just begun to appear within the last five years or so. The University of Chicago introduced one of the first in the nation. The explosion of investment and innovation in quantum information science is creating demand for expertise.

“One of the biggest challenges in the field is not only the science and technology, it’s scaling the workforce at all levels to meet growing demand,” Awschalom said. “How do we create a sufficient supply of quantum engineers and technicians to innovate and build quantum technologies?”

The answer is not just people with advanced schooling. More than half of quantum technology jobs do not require a graduate degree.

“Several years ago, it was mostly research scientists with Ph.D.s or postdocs who were involved in quantum,” Chalsani said. “But as the industry has matured, it requires a whole range of other talent.” That includes equipment technicians, software engineers, HVAC installers and other key roles.

Some of the technologies this workforce will support are already here, such as quantum navigation sensors. Some, like quantum computing, are further off.

And others? We don’t know what they are yet.

“History has shown that whenever there are discontinuous changes in science and technology, the biggest impacts are the ones we’re not imagining in this conversation,” Awschalom said. “The trick is, will we be ready when they arrive? Because I guarantee you, they’re going to appear — they always do.”

For more information: Argonne National Laboratory
Image: Argonne researchers are developing technologies and protocols to enable scalable, long-distance quantum communication. (Image by Argonne National Laboratory.)

Enabling an electric future, researchers create electrode-agnostic electrolyte

Engineers at the University of Wisconsin–Madison have developed a versatile new electrolyte that advances the development of an initially anode-free sodium-ion battery—a promising alternative to lithium-ion batteries for electric vehicles and grid energy storage. Led by Assistant Professor Fang Liu and PhD students Qianli Xing and Ziqi Yang, the team is also using this electrolyte as a model system to explore how molecular manipulation can improve compatibility between different battery components, potentially paving the way for more efficient and energy-dense battery technologies.

Typically, batteries are made up of two electrodes—an anode (negative side) and a cathode (positive side)—as well as a liquid electrolyte. In this case, the “initially anode-free” aspect of the battery means its physical anode forms internally upon the battery’s first charge—making it simpler, less expensive and more energy-dense.

Containing solvents and dissolved salts, the electrolyte is the liquid medium that touches all parts of the battery’s cells and, in its charging or discharging process, helps ions travel between the electrodes.

In a battery, the anode and cathode are different materials—for example, graphite, hard carbon sodium or lithium for the anode and a transition metal oxide like lithium nickel manganese cobalt oxide or sodium nickel iron manganese oxide for the cathode.

One of the challenges in developing next-generation batteries is that there’s not a one-size-fits-all electrolyte that performs effectively with both electrode material types. Conversely, when an electrolyte contains multiple solvent molecules, controlling their interactions and behavior is challenging.

Tweaking the electrolyte is a balancing act involving multiple factors, including how solvent molecules in the electrolyte form a “shell” around ions that could accelerate or impede the ions’ movement between anode and cathode—which ultimately affects battery charging and discharging, along with overall battery performance. “Using this model system, we are basically trying to understand whether we can present different molecules to different electrode surfaces—for example, an anode-stable solvent to the anode, and then a cathode-stable solvent to the cathode,” says Liu. “In this way, the electrolyte mixture would ideally behave like an anode-stable solvent at the anode, and like a cathode-stable solvent at the cathode.”

To create its new electrolyte, the team mixed two ether-based solvents, 2-methyltetrahydrofuran, or 2-MeTHF, which is more stable at the anode, and tetrahydrofuran, or THF, which is more stable at the cathode. Importantly, they found a way to rationalize electrolyte design: Solvents that dominate the first shell around positively charged ions that travel between electrodes are key to anode stability, while “free” or more weakly bonded solvents are important to the stability of the cathode side. “Through this electrolyte engineering work, we were trying to demystify what determines the stability of the anode and cathode separately, and how to present suitable molecules to both electrodes,” says Liu. “Qianli found out that the key factor is the population of solvents in the first solvation shell versus outside, and their location determines their presentation during the battery formation process.”

Computational testing, conducted by collaborator Reid Van Lehn, an associate professor of chemical and biological engineering at UW-Madison, and his student Jung Min Lee, played a significant role in the research as well. They used all-atom molecular dynamics simulations to predict the composition of solvent molecules near sodium ions and determine whether those ions “preferred” one solvent over the other. “Our results indeed found—in good agreement with experiments from the Liu group—that we could identify a single strongly interacting solvent (2-MeTHF) and a weakly interacting solvent (THF),” says Van Lehn. “We further used these calculations to relate this behavior to the relative strength of interactions of each type of solvent, providing molecular-scale insight that can be extended to even more complex mixtures to continue optimizing electrolyte design.”

The research lays the groundwork for the next steps in developing not simply sodium-metal batteries, but also other new alternatives to lithium-ion batteries. “Through this research, we start to understand that the solvent and anion interactions become really important,” says Liu. “We’re trying to expand our solvent library to manipulate these kinds of interactions, to see whether this kind of working principle can be applied to broader solvent libraries and different battery chemistries.”

For more information Nature Communications
Image: PhD student Qianli Xing. Photos: Joel Hallberg

New AI technique unravels quantum atomic vibrations in materials

Caltech researchers have developed a machine learning method that significantly accelerates quantum calculations related to atomic vibrations, or phonons, which influence key material properties like heat transport and phase transitions. Led by Professor Marco Bernardi and graduate student Yao Luo, the team built on their earlier work using singular value decomposition (SVD) to simplify complex mathematical models of electron-phonon interactions. Their new AI-based approach could eventually be applied to all quantum interactions, offering a powerful tool for understanding how particles behave in materials from first principles.

Now, inspired by recent advances in machine learning, Bernardi and Luo have developed an AI-based technique that sifts through the high-order tensors that encode phonon interactions in a material and extracts only the crucial bits needed to complete the calculations that explain thermal transport.

Using current state-of-the-art techniques, a supercomputer takes hours or days to calculate the interactions between three or four phonons in a material. The new method enables computers to complete the same thermal transport and phonon dynamics calculations 1,000 to 10,000 times faster, all while maintaining accuracy.

“The calculations for four-phonon interactions are a nightmare,” Bernardi says. “For complex materials, this task would involve weekslong calculations. Now we can do them in 10 seconds.”

Bernardi explains more about the method:

“We use a machine learning technique called CANDECOMP/PARAFAC tensor decomposition, but we had to adapt it to satisfy the symmetry of this specific physical problem. We first set up a neural network and then run it on GPUs and ask: ‘What are the best functions to approximate the actual tensor that describes these phonon interactions?’ Once we fix the number of product terms we want to keep, the machine learning process returns the best functions to approximate the full tensor. We typically only need a few of these products, saving orders of magnitude in computational complexity compared to using the full tensor. This method allows us to learn the compressed form of phonon interactions, and we can still use these highly compressed tensors to compute all the observables of interest with the same accuracy.”

Bernardi adds that the new method is well suited for high-throughput screening of thermal physics and heat transport in large material databases, a major effort in the materials community. As for future work, he says, “My vision right now is to compress all different types of quantum interactions and high-order processes in materials with similar techniques. The key will be to bypass the formation of large tensors altogether and to learn the interactions directly in compressed form.”

For more information: Physical Review Letters
Image: Inspired by recent advances in machine learning, Caltech scientists have developed an AI-based technique that sifts through the high-order tensors that encode phonon interactions in a material and extracts only the crucial bits needed to complete the calculations that explain thermal transport.

An accelerated paradigm for developing mission-critical materials

Scientists and engineers at Johns Hopkins Applied Physics Laboratory (APL) are pioneering a new approach to materials science that leverages artificial intelligence and robotics to dramatically speed up the design, testing, and optimization of metal components critical to national defense. This initiative, called TETRA (Transforming Evaluation and Testing via Robotics and Acceleration), reimagines the traditional materials science framework — known as the tetrahedron — by integrating advanced automation and accelerated testing methods. The goal is to overcome current limitations in the defense industrial base, which struggles to meet demand for both legacy and advanced metallic components due to slow alloy qualification processes.

Funded by the Department of Defense’s Industrial Base Analysis and Sustainment Program, TETRA aims to revolutionize how materials are evaluated, enabling rapid deployment of high-performance alloys. According to Sal Nimer, assistant program manager for APL’s Science of Extreme and Multifunctional Materials program, this effort could significantly enhance the speed and efficiency of producing and qualifying materials, helping the DoD maintain existing systems while unlocking new capabilities.

“When developing materials for defense needs, it’s not just about the composition of the alloy or system — it’s also about how you shape, treat and refine it,” said Morgan Trexler, who leads the research program area in APL’s Research and Exploratory Development Mission Area. “TETRA has potential to be game-changing because it allows us to simultaneously consider every variable that impacts performance, which until now, has been painstaking and time-consuming, sometimes taking months to achieve what TETRA can accomplish in just a matter of days.”
In materials science, processing, structure and properties are dynamically interrelated, with changes in one necessarily affecting the others. However, conventional processes lock scientists into procedures that force them to assess each factor serially, explained Paul Lambert, TETRA co-lead. Scientists typically produce a large ingot of material with a uniform chemical composition, cut it into pieces, place those in a furnace, machine each into a test specimen and then subject each specimen to analysis to test for properties of interest. This sequence is then iteratively repeated for each change made to the material.

“It takes a really long time, it’s really expensive and it’s inefficient,” Lambert said. “With the TETRA lab, we’re working to simultaneously explore all of the different composition and processing variants that influence properties and performance — or at least we aim to do this significantly more rapidly.”

Their approach leverages a method known as combinatorial synthesis to study a variety of chemical compositions. TETRA expands on the standard implementations, which are too limited in size and scale for the rigors of fielded equipment, Lambert explained.

“Materials perform quite differently when scaled up in size, so we are developing methods that focus on development and size scales of interest,” he said. “And traditional combinatorial synthesis often doesn’t account for critical effects of heat treatment and the hot work from forging and other production processes. Our approach will enable understanding and consideration for all of these effects as we develop new alloys and scalable processing approaches.”
TETRA is leveraging an additive manufacturing technique called blown-powder directed energy deposition, or DED. The process involves a laser melting metal powder as it’s fed into the build area, where it quickly solidifies. This allows for the creation, layer by layer, of dense metal structures, and chemical compositions can be varied in each sample. A single build plate can contain hundreds of alloys, printed into custom-designed 3D specimens, ready to be autonomously tested.

In addition to fabrication via additive manufacturing, the lab will feature a state-of-the-art melting furnace for ultrafast synthesis of custom castings from raw material, custom heat treatment furnaces and hot forging equipment for shaping material and modifying its microstructure, and robotic mechanical property measurement. This combination of capabilities will make TETRA an all-in-one materials research and development facility — the first of its kind.

These same tools for discovering new materials will also enable researchers to troubleshoot the manufacturing of legacy parts, Lambert said, helping to identify why a “surprisingly high” number of parts are rejected for poor properties, even when the root cause of these poor properties is not always clear. “One envisioned future use for the TETRA lab is to help diagnose those kinds of problems with existing parts, in addition to creating new ones,” he said.

Eventually, the TETRA team envisions bringing in existing APL capabilities that employ artificial intelligence to discover novel materials for extreme environments.

“TETRA’s cutting-edge methods should integrate seamlessly with our ongoing work in AI-accelerated materials discovery,” Nimer said. “We envision creating an AI ‘co-engineer’ that works alongside human researchers, learning from materials development data to automatically recommend the next tests, or even creating a self-running lab that autonomously designs materials and tests them. We’re not there yet, but we hope we’re building the foundation to enable those instantiations in the future.”

Image: A rendering of the TETRA lab demonstrates how the effort will develop novel capabilities and streamline processes to increase the speed of production for designing, testing and optimizing metal components. Credit: Johns Hopkins APL

NIST finds Florida condo collapse started in pool deck

Flaws in the pool deck are thought to be the preliminary cause of the devastating collapse of a condominium in Surfside, Florida, that killed 98. Recent test results by the National Institute of Standards and Technology (NIST), the agency leading the investigation of the 2021 tragedy, reinforces the theory that the failure started in the pool deck area rather than in the tower itself. NIST released new findings this week.

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Scientists report heavy electrons could open a path to a new type of quantum computer

Scientists in Japan have uncovered unusual quantum behavior in “heavy” electrons within the crystalline compound CeRhSn, which could one day support advances in quantum computing. These electrons appear to carry hundreds of times their normal mass—not due to their intrinsic properties, but because of strong interactions with other particles in the material that slow them down. Unlike typical metals, the electrons in CeRhSn enter a “non-Fermi liquid” state, moving collectively and entangled rather than individually. Remarkably, this state follows a universal energy dissipation rule known as Planckian scaling, linking the behavior to fundamental constants of nature.

n ordinary conductors like copper, electrons scatter in a way that can be calculated with standard physics. But at the edge of magnetism, superconductivity, or other collective phases, those rules break down. According to the researchers, CeRhSn sits right at this edge, making it a prime example of what physicists call “quantum criticality.”

The significance, according to the team, is that quantum critical materials may offer new routes for building quantum technologies. While most current quantum computers use superconducting circuits or trapped ions, heavy-electron compounds could provide an alternative platform where information is stored in the collective motion of electrons.

Dr. Shin-ichi Kimura of The University of Osaka, who led the research, said, “Our findings demonstrate that heavy fermions in this quantum critical state are indeed entangled, and this entanglement is controlled by the Planckian time. This direct observation is a significant step towards understanding the complex interplay between quantum entanglement and heavy fermion behavior.”

To probe CeRhSn, the team grew single crystals of the material in a controlled furnace and then polished them for study. They shined polarized light along different crystal directions and recorded how the electrons responded across a wide range of energies.

The experiments showed a distinct directional difference. In the plane where the cerium atoms form a kagome-like pattern—a triangular lattice with inherent frustration—the electrons followed Planckian scaling below about 80 Kelvin, or -193°C. Along the vertical axis, however, the electrons did not follow the same rule. The researchers interpret this anisotropy, or direction dependence, as evidence that the geometry of the lattice strongly shapes how the electrons behave.

While the findings demonstrate that heavy electrons can follow universal scaling laws, they do not yet provide a recipe for building a quantum computer. According to the study, the scaling behavior appeared only along one direction in the crystal, underscoring the material’s complexity.

The researchers also note that different experimental probes sometimes yield conflicting results. For example, while optical conductivity measurements suggested Planckian behavior, other measurements such as heat capacity report different values. Reconciling these differences will require further experiments.

Quantum computing today is built on platforms that manipulate single quantum states and properly managing entanglement. Although there is work to do, the study points to a different possibility: harnessing the collective entanglement of many strongly interacting electrons. While speculative, the researchers argue that observing Planckian scaling in heavy-electron systems adds weight to this idea.

The researchers suggest that CeRhSn may represent a new class of quantum critical material, distinct from compounds where magnetism dominates. They propose studying other materials with similar lattice structures to see if the same directional scaling appears. Pressure, chemical substitution, or magnetic fields could also be used to test how far the Planckian regime extends.

If the phenomenon proves robust, scientists report they could eventually try to design materials where the collective state of heavy electrons can be stabilized and controlled. Such systems might support qubits that are less sensitive to noise than those in existing technologies.

For more information: npj Quantum Materials

A simple metal could solve the world’s plastic recycling problem

Northwestern University chemists have developed a new plastic upcycling process that could revolutionize recycling by significantly reducing or even eliminating the need to pre-sort mixed plastic waste. Using an inexpensive nickel-based catalyst, the method selectively breaks down polyolefin plastics—such as polyethylenes and polypropylenes, which make up nearly two-thirds of global plastic use—allowing industrial users to efficiently process large volumes of unsorted waste.

When the catalyst breaks down polyolefins, the low-value solid plastics transform into liquid oils and waxes, which can be upcycled into higher-value products, including lubricants, fuels and candles. Not only can it be used multiple times, but the new catalyst can also break down plastics contaminated with polyvinyl chloride (PVC), a toxic polymer that notoriously makes plastics “unrecyclable.”

“One of the biggest hurdles in plastic recycling has always been the necessity of meticulously sorting plastic waste by type,” said Northwestern’s Tobin Marks, the study’s senior author. “Our new catalyst could bypass this costly and labor-intensive step for common polyolefin plastics, making recycling more efficient, practical and economically viable than current strategies.”

“When people think of plastic, they likely are thinking about polyolefins,” said Northwestern’s Yosi Kratish, a co-corresponding author on the paper. “Basically, almost everything in your refrigerator is polyolefin based — squeeze bottles for condiments and salad dressings, milk jugs, plastic wrap, trash bags, disposable utensils, juice cartons and much more. These plastics have a very short lifetime, so they are mostly single-use. If we don’t have an efficient way to recycle them, then they end up in landfills and in the environment, where they linger for decades before degrading into harmful microplastics.”

A world-renowned catalysis expert, Marks is the Vladimir N. Ipatieff Professor of Catalytic Chemistry at Northwestern’s Weinberg College of Arts and Sciences and a professor of chemical and biological engineering at Northwestern’s McCormick School of Engineering. He is also a faculty affiliate at the Paula M. Trienens Institute for Sustainability and Energy. Kratish is a research assistant professor in Marks’ group, and an affiliated faculty member at the Trienens Institute. Qingheng Lai, a research associate in Marks’ group, is the study’s first author. Marks, Kratish and Lai co-led the study with Jeffrey Miller, a professor of chemical engineering at Purdue University; Michael Wasielewski, Clare Hamilton Hall Professor of Chemistry at Weinberg; and Takeshi Kobayashi a research scientist at Ames National Laboratory.

From yogurt cups and snack wrappers to shampoo bottles and medical masks, most people interact with polyolefin plastics multiple times throughout the day. Because of its versatility, polyolefins are the most used plastic in the world. By some estimates, industry produces more than 220 million tons of polyolefin products globally each year. Yet, according to a 2023 report in the journal Nature, recycling rates for polyolefin plastics are alarmingly low, ranging from less than 1% to 10% worldwide.

The main reason for this disappointing recycling rate is polyolefin’s sturdy, stubborn composition. It contains small molecules linked together with carbon-carbon bonds, which are famously difficult to break.

“When we design catalysts, we target weak spots,” Kratish said. “But polyolefins don’t have any weak links. Every bond is incredibly strong and chemically unreactive.”

Currently, only a few, less-than-ideal processes exist that can recycle polyolefin. It can be shredded into flakes, which are then melted and downcycled to form low-quality plastic pellets. But because different types of plastics have different properties and melting points, the process requires workers to scrupulously separate various types of plastics. Even small amounts of other plastics, food residue or non-plastic materials can compromise an entire batch. And those compromised batches go straight into the landfill.

Another option involves heating plastics to incredibly high temperatures, reaching 400 to 700 degrees Celsius. Although this process degrades polyolefin plastics into a useful mixture of gases and liquids, it’s extremely energy intensive.

“Everything can be burned, of course,” Kratish said. “If you apply enough energy, you can convert anything to carbon dioxide and water. But we wanted to find an elegant way to add the minimum amount of energy to derive the maximum value product.”

To uncover that elegant solution, Marks, Kratish and their team looked to hydrogenolysis, a process that uses hydrogen gas and a catalyst to break down polyolefin plastics into smaller, useful hydrocarbons. While hydrogenolysis approaches already exist, they typically require extremely high temperatures and expensive catalysts made from noble metals like platinum and palladium.

“The polyolefin production scale is huge, but the global noble metal reserves are very limited,” Lai said. “We cannot use the entire metal supply for chemistry. And, even if we did, there still would not be enough to address the plastic problem. That’s why we’re interested in Earth-abundant metals.”

For its polyolefin recycling catalyst, the Northwestern team pinpointed cationic nickel, which is synthesized from an abundant, inexpensive and commercially available nickel compound. While other nickel nanoparticle-based catalysts have multiple reaction sites, the team designed a single-site molecular catalyst.

The single-site design enables the catalyst to act like a highly specialized scalpel — preferentially cutting carbon-carbon bonds — rather than a less controlled blunt instrument that indiscriminately breaks down the plastic’s entire structure. As a result, the catalyst allows for the selective breakdown of branched polyolefins (such as isotactic polypropylene) when they are mixed with unbranched polyolefins — effectively separating them chemically.

“Compared to other nickel-based catalysts, our process uses a single-site catalyst that operates at a temperature 100 degrees lower and at half the hydrogen gas pressure,” Kratish said. “We also use 10 times less catalyst loading, and our activity is 10 times greater. So, we are winning across all categories.”

With its single, precisely defined and isolated active site, the nickel-based catalyst possesses unprecedented activity and stability. The catalyst is so thermally and chemically stable, in fact, that it maintains control even when exposed to contaminants like PVC. Used in pipes, flooring and medical devices, PVC is visually similar to other types of plastics but significantly less stable upon heating. Upon decomposition, PVC releases hydrogen chloride gas, a highly corrosive byproduct that typically deactivates catalysts and disrupts the recycling process.

Amazingly, not only did Northwestern’s catalyst withstand PVC contamination, PVC actually accelerated its activity. Even when the total weight of the waste mixture is made up of 25% PVC, the scientists found their catalyst still worked with improved performance. This unexpected result suggests the team’s method might overcome one of the biggest hurdles in mixed plastic recycling — breaking down waste currently deemed “unrecyclable” due to PVC contamination. The catalyst also can be regenerated over multiple cycles through a simple treatment with inexpensive alkylaluminium.

“Adding PVC to a recycling mixture has always been forbidden,” Kratish said. “But apparently, it makes our process even better. That is crazy. It’s definitely not something anybody expected.”

For more information: Nature Chemistry

Novel kiri-origami structures enable high-performance stretchable electronics

Stretchable electronics are increasingly used in devices like smartphones, smartwatches, curved displays, and wearable sensors, but they face a trade-off between flexibility and electrical performance, as stretchable materials like elastomers typically underperform compared to rigid ones like metals or semiconductors. To address this, researchers have turned to origami and kirigami—Japanese techniques of folding and cutting paper—to enable stretchability in non-stretchable electronic materials. Origami creates bendable structures with hinges suitable for mounting rigid components, while kirigami uses slits to allow full structural deformation, making it ideal for large-area designs but less compatible with rigid parts.

In a groundbreaking study, Professor Eiji Iwase and Mr. Nagi Nakamura from the Department of Applied Mechanics and Aerospace Engineering at Waseda University, Japan, developed an innovative hybrid technique using kiri-origami structures.

“In this study, we have proposed a kiri-origami structure that incorporates both folding and cutting lines, combining the strengths of origami and kirigami while canceling out their weaknesses,” explains Iwase. “This structure enables large-number-of-unit, large area electronic devices, allowing rigid electronic components to be folded by stretching.”

The proposed kiri-origami design features a mutual orthogonal cutting line pattern. In this pattern, triangular joint panels consisting of two folding lines act as hinges and connect two square panels formed by the cutting lines. When stretched from a flat state, the square panels rise and rotate. This opens slits between the panels, ultimately resulting in a Z-shape around the hinges. This structure allows simultaneous mounting of rigid components and stretching to a target shape, while also supporting large-area and large-number-of-unit structures.

In ideal kiri-origami structures, called rigid-origami structures, the panels do not deform, and the hinges rotate frictionlessly. However, for a real stretchable electronic substrate, panel deformation and elastic repulsive forces cannot be overlooked, giving rise to an “elastic origami model.” To investigate these effects, the researchers tested the deformation of a rectangular elastic origami model using a simple stretching method, where the sample is clamped and stretched uniaxially. They observed that the elastic model deformed differently from the rigid model. They found that this difference occurs due to two factors: first, the clamping edges in the rigid model are free edges, while they are fixed in the elastic model. Second, the entire structure distorts while stretching due to non-uniform tension.

To mitigate these effects, the researchers developed a new folding method that introduces buffer structures. The buffer structures are trapezoidal extensions that connect all the edges of the kiri-origami structure to the clamps. The width of the shorter edge of the buffer structures is equal to the initial width of the kiri-origami structure, while the larger edge is set to the target stretched width of the rigid model. When a tensile force is applied, they extend and behave like springs. As a result, the entire structure stretches in two directions, matching the deformation of the rigid model while maintaining uniform tension.

The researchers demonstrated this technique by fabricating a stretchable display with more than 500 hinges and 145 LEDs. All hinges could fold up simultaneously, and the device’s performance was maintained before and after folding.

“Our approach makes it possible to develop stretchable electronic devices that can accommodate complex shapes and do not compromise on performance, including next-generation high-performance wearable sensors, curved displays, and flexible sensors and actuators for human assistance robots,” remarks Iwase.

This kiri-origami technique thus offers a scalable, structurally engineered solution for integrating high-performance electronic materials into flexible, stretchable devices—paving the way for innovative applications in electronics, healthcare, and robotics.

For more information: npj Flexible Electronics

Image: Kiri-origami structures combine the benefits of both origami and kirigami, incorporating their advantages while canceling their disadvantages, enabling the development of high-performance, stretchable, large-number-of-unit electronic devices.

One Minute Mentor: Distortion in Tool Steels

To control the distortion that occurs both during and after heat treatment, proper consideration must be given to such factors as design, composition, initial condition, machining procedure, and heat treatment. The design of a tool-steel part directly affects the susceptibility to shape distortion on heating and cooling. Limitations imposed by the design on composition, machining procedure, and heat treatment may indirectly affect both shape and size distortion.  The figure shows the expected magnitude of shape distortion for this range of sizes. The difficulty involved in economically attaining the final dimensions of a part is largely determined by the magnitudes of the specified tolerance limits. 

For more information, click on the link below (subscription required). Then scroll to Figure 2.Jon L. Dossett; George E. Totten, Control of Distortion in Tool Steels, ASM International, 2014 https://doi.org/10.31399/asm.hb.v04d.9781627081689

 

Lindberg/MPH ships aluminum melting and holding furnace with integrated preheat hearth

Lindberg/MPH, Riverside, Michigan announced the shipment of a gas-fired reverberatory aluminum melting and holding furnace equipped with a preheat hearth. The system is designed for aluminum parts manufacturing and features a melt rate of 10,000 pounds per hour.

The furnace offers a maximum operating temperature of 1,450°F and has a total holding capacity of 85,000 pounds, based on a density of 155 pounds per cubic foot of molten aluminum. Key design features include a full-width, vertically rising air-operated door for loading the preheat hearth, and a full-width cleanout door at the rear for unloading.

Engineered for ease of use and thermal efficiency, the furnace includes an elevated base, a bottom-mounted magnetic stirring mechanism, and an air pressure pump well for dispensing molten aluminum. This configuration enables consistent operation even after extended idle periods, such as weekends, without significant temperature variation between the pump and the furnace.

The system is equipped with three temperature controllers—one for bath temperature regulation and two for high-limit safety control. Standard flame supervision features include timed forced-air purging during start-up or restart after flame failure, and automatic low-fire shutdown in response to excess or insufficient gas or air pressure, or electrical issues.

Lindberg/MPH noted that the shipment reflects continued demand for advanced, high-capacity aluminum melting solutions with integrated safety and operational enhancements.

https://www.lindbergmph.com/about-us/news/lindberg-mph-ships-aluminum-melting-and-holding-furnace-with-preheat-hearth/