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Category: computing – Page 8

New metal design for solid-state batteries enables operation at lower pressures

Lithium-ion batteries power everything from electric cars to laptops to leaf blowers. Despite their widespread adoption, lithium-ion batteries carry limited amounts of energy, and rare overheating can lead to safety concerns. Consequently, for decades, researchers have sought a more reliable battery.

Solid-state batteries are less flammable and can hold more energy, but they often require intense pressure to function. This requirement has made them difficult to use in applications, but new research from Georgia Tech could change that.

The research group of Matthew McDowell, professor and Carter N. Paden Jr. Distinguished Chair in the George W. Woodruff School of Mechanical Engineering and the School of Materials Science and Engineering, has designed a new metal for solid-state batteries that enables operation at lower pressures. While is often used in these batteries, McDowell’s group discovered that combining lithium with softer metal results in improved performance and novel behavior.

Critical minerals don’t belong in landfills. Microwave tech offers a cleaner way to reclaim them from e-waste

When the computer or phone you’re using right now blinks its last blink and you drop it off for recycling, do you know what happens?

At the recycling center, powerful magnets will pull out steel. Spinning drums will toss aluminum into bins. Copper wires will get neatly bundled up for resale. But as the conveyor belt keeps rolling, tiny specks of valuable, lesser-known materials such as gallium, indium and tantalum will be left behind.

Those tiny specks are critical materials. They’re essential for building new technology, and they’re in short supply in the U.S. They could be reused, but there’s a problem: Current recycling methods make recovering from e-waste too costly or hazardous, so many recyclers simply skip them.

Aging on Chip: Harnessing the Potential of Microfluidic Technologies in Aging and Rejuvenation Research

Alternative models for studying aging have employed unicellular organisms such as the budding yeast Saccharomyces cerevisiae. Studying replicative aging in yeast has revealed insights into evolutionarily conserved enzymes and pathways regulating aging[ 12-14 ] as well as potential interventions for mitigating its effects.[ 15 ] However, traditional yeast lifespan analysis on agar plates and manual separation cannot track molecular markers and yeast biology differs from humans.[ 16 ]

Animal models, including nematodes, flies, and rodents, play a vital role in aging research due to their shorter lifespans and genetic manipulability, making them useful for mimicking human aging phenotypes.[ 17 ] These models have provided many insights into the fundamental understanding of aging mechanism. However, animal models come with several limitations when applied to human aging and age-related diseases. Key issues include limited generalizability due to species-specific differences in disease manifestation and physiological traits. For example, animal models often exhibit physiological differences, age at different rates, and may not fully replicate human conditions like cardiovascular disease,[ 18 ] immune response,[ 19 ] neurodegenerative diseases,[ 20 ] and drug metabolism.[ 21 ] Furthermore, in vivo models, such as rodents and non-human primates, suffer from limitations such as high costs, low throughput, ethical concerns, and physiological differences compared to humans. The use of shorter lifespan or accelerated aging models, along with the absence of long-term longitudinal data, can further distort the natural aging process and hinder our understanding of aging in humans. Additionally, many animal models rely on inbred strains, which lack genetic diversity and may not fully represent evolutionary complexity.[ 22 ]

In recent years, microfluidics has emerged as a promising tool for studying aging, offering of physiologically relevant 3D environments with high-throughput capabilities that surpass the limitations of traditional 2D cultures and bridge the gap between animal models and human As a multidisciplinary technology, microfluidics processes or manipulates small volumes of fluids (from pico to microliters) within channels measuring 10–1000 µm.[ 23 ] Traditional fabrication methods, such as photolithography and soft lithography, particularly using polydimethylsiloxane (PDMS), remain widely used due to their cost-effectiveness and biocompatibility. However, newer approaches, including 3D printing, injection molding, and laser micromachining, offer greater flexibility for rapid prototyping and the creation of complex architectures. Design considerations are equally critical and are tailored to the specific application, focusing on parameters such as channel geometry, fluid dynamics, material properties, and the integration of on-chip components like valves, sensors, and actuators. A comprehensive overview of the design and fabrication of microphysiological systems is beyond the scope of this review; readers are referred to existing reviews for further detail.[ 24-26 ] Microfluidic devices offer numerous advantages, including reduced resource consumption and costs, shorter culture times, and improved simulation of pathophysiological conditions in 3D cellular systems compared to other model systems (Figure 1).[ 27 ] Therefore, microfluidics platforms have been extensively employed in various domains of life science research, such as developmental biology, disease modeling, drug discovery, and clinical applications,[ 28 ] positioning this technology as a significant avenue in the field of aging research.

Optimal design could unlock the potential of bladeless wind turbines

Insights from a new study could help unlock the full potential of a developing form of smaller-scale wind power generation, researchers say.

Engineers from the University of Glasgow have used sophisticated computer simulations of bladeless wind turbines (BWTs) to identify for the first time how future generations of the technology could be built for .

The team’s paper, titled “Performance analysis and geometric optimisation of bladeless wind turbines using wake oscillator model,” is published in Renewable Energy.

A quantum random access memory based on transmon-controlled phonon routers

Recent technological advances have opened new exciting possibilities for the development of cutting-edge quantum devices, including quantum random access memory (QRAM) systems. These are memory architectures specifically meant to be integrated inside quantum computers, which can simultaneously retrieve data from multiple ‘locations’ leveraging a quantum effect known as coherent superposition.

Scientists achieve precision activation of quantum defects in diamond

A new study led by researchers at the Universities of Oxford, Cambridge and Manchester has achieved a major advance in quantum materials, developing a method to precisely engineer single quantum defects in diamond—an essential step toward scalable quantum technologies. The results have been published in the journal Nature Communications.

Using a new two-step fabrication method, the researchers demonstrated for the first time that it is possible to create and monitor, “as they switch on,” individual Group-IV quantum defects in diamond—tiny imperfections in the diamond that can store and transmit information using the exotic rules of quantum physics.

By carefully placing single tin atoms into synthetic diamond crystals and then using an ultrafast laser to activate them, the team achieved pinpoint control over where and how these quantum features appear. This level of precision is vital for making practical, large-scale quantum networks capable of ultra-secure communication and distributed quantum computing to tackle currently unsolvable problems.

A new problem that only quantum computing can solve

As quantum computing develops, scientists are working to identify tasks for which quantum computers have a clear advantage over classical computers. So far, researchers have only pinpointed a handful of these problems, but in a new paper published in Physical Review Letters, scientists at Los Alamos National Laboratory have added one more problem to this very short list.

“One of the central questions that faces is what classes of problems they can most efficiently solve but cannot,” says Marco Cerezo, the Los Alamos team’s lead scientist. “At the moment, this is the Holy Grail of quantum computing, because you can count on two hands such problems. In this paper, we’ve just added another.”

Quantum computing harnesses the unique laws of quantum physics, such as superposition, entanglement and interference, which allow for information processing capabilities beyond those of classical devices. When fully realized, quantum computing promises to make advancements in cryptography, simulations of quantum systems and data analysis, among many other fields. But before this can happen, researchers still need to develop the foundational science of quantum computing.

Gyromagnetic zero-index metamaterials enable stable light vortices for advanced optical control

The Hong Kong University of Science and Technology (HKUST)-led research team has adopted gyromagnetic double-zero-index metamaterials (GDZIMs)—a new optical extreme-parameter material—and developed a new method to control light using GDZIMs. This discovery could revolutionize fields like optical communications, biomedical imaging, and nanotechnology, enabling advances in integrated photonic chips, high-fidelity optical communication, and quantum light sources.

The study published in Nature was co-led by Prof. Chan Che-Ting, Interim Director of the HKUST Jockey Club Institute for Advanced Study and Chair Professor in the Department of Physics, and Dr. Zhang Ruoyang, Visiting Scholar in the Department of Physics at HKUST.