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Predicting the behavior of many interacting quantum particles is a complex task, but it’s essential for unlocking the potential of quantum computing in real-world applications. A team of researchers, led by EPFL, has developed a new method to compare quantum algorithms and identify the most challenging quantum problems to solve.

Quantum systems, from subatomic particles to complex molecules, hold the key to understanding the workings of the universe. However, modeling these systems quickly becomes overwhelming due to their immense complexity. It’s like trying to predict the behavior of a massive crowd where everyone constantly influences everyone else. When you replace the crowd with quantum particles, you encounter what’s known as the “quantum many-body problem.”

Quantum many-body problems involve predicting the behavior of numerous interacting quantum particles. Solving these problems could lead to major breakthroughs in fields like chemistry and materials science, and even accelerate the development of technologies like quantum computers.

Organic electrochemical transistors (OECTs) are neuromorphic transistors made of carbon-based materials that combine both electronic and ionic charge carriers. These transistors could be particularly effective solutions for amplifying and switching electronic signals in devices designed to be placed on the human skin, such as smart watches, trackers that monitor physiological signals and other wearable technologies.

In contrast with conventional neuromorphic transistors, OECTs could operate reliably in wet or humid environments, which would be highly advantageous for both medical and wearable devices. Despite their potential, most existing OECTs are based on stiff materials, which can reduce the comfort of wearables and thus hinder their large-scale deployment.

Researchers at the University of Hong Kong have developed a new wearable device based on stretchable OECTs that can both perform computations and collect signals from the surrounding environment. Their proposed system, presented in a paper published in Nature Electronics, could be used to realize in-sensor edge computing on a flexible wearable device that is comfortable for users.

Just as we mimicked birds and fish to model cars and planes, we may gain inspiration for deep dive vehicles.

The original version of this story appeared in Quanta Magazine.

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A flow battery, also known as a reduction-oxidation (Redox) flow battery, is an electrochemical cell that uses two moving liquid electrolytes to generate electricity.

Ion transfer occurs across the cell membrane, accompanied by current flow through an external circuit, while the liquids circulate in their respective spaces. The liquids required are stored in separate tanks until required.

Continue reading “All electric without batteries: Are flow batteries the future of EVs?” »

Researchers from UCLA’s Institute for Carbon Management have developed a method that could eliminate nearly all of of the carbon dioxide emitted during the process of cement production, which accounts for about 8% of global atmospheric CO₂ emissions.

In a new study published in ACS Sustainable Chemistry & Engineering, the researchers describe how the new approach could be easily incorporated into existing cement-production processes, providing a more affordable alternative to existing solutions to decarbonize the industry.

This sounds very promising! The researchers are investigating the use of nuclear microreactors to power faster and more efficient electric propulsion systems.☢️🚀

To develop spacecraft that can “maneuver without regret,” the U.S. Space Force is providing $35 million to a national research team led by the University of Michigan. It will be the first to bring fast chemical rockets together with efficient electric propulsion powered by a nuclear microreactor.

The newly formed Space Power and Propulsion for Agility, Responsiveness and Resilience Institute involves eight universities, and 14 industry partners and advisers in one of the nation’s largest efforts to advance space power and propulsion, a critical need for national defense and space exploration.

Continue reading “Space Force funds $35M institute for versatile propulsion at U-M” »

A team from Lawrence Livermore National Laboratory, Stanford University and the University of Pennsylvania introduced a novel wet chemical etching process that modifies the surface of conventional metal powders used in 3D printing.

In a significant advancement for metal additive manufacturing, researchers at Lawrence Livermore National Laboratory (LLNL) and their academic partners have developed a groundbreaking technique that enhances the optical absorptivity of metal powders used in 3D printing.

The innovative approach, which involves creating nanoscale surface features on metal powders, promises to improve the efficiency and quality of printed metal parts, particularly for challenging materials like copper and tungsten, according to researchers.

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Despite its almost perfect anti-aging profile, rapamycin exerts one significant limitation – inappropriate physicochemical properties. Therefore, we have decided to utilize virtual high-throughput screening and fragment-based design in search of novel mTOR inhibiting scaffolds with suitable physicochemical parameters. Seven lead compounds were selected from the list of obtained hits that were commercially available (4, 5, and 7) or their synthesis was feasible (1, 2, 3, and 6) and evaluated in vitro and subsequently in vivo. Of all these substances, only compound 3 demonstrated a significant cytotoxic, senolytic, and senomorphic effect on normal and cancerous cells. Further, it has been confirmed that compound 3 is a direct mTORC1 inhibitor. Last but not least, compound 3 was found to exhibit anti-SASP activity concurrently being relatively safe within the test of in vivo tolerability. All these outstanding results highlight compound 3 as a scaffold worthy of further investigation.

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Next Generation Biomanufacturing Technologies — Dr. Leonard Tender, Ph.D. — Biological Technologies Office, Defense Advanced Research Projects Agency — DARPA

Dr. Leonard Tender, Ph.D. is a Program Manager in the Biological Technologies Office at DARPA (https://www.darpa.mil/staff/dr-leonar…) where his research interests include developing new methods for user-defined control of biological processes, and climate and supply chain resilience.

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