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Pay-off when solar cells can keep their cool

Finding key to low-cost, fast production of solid-state batteries for EVs

 E-Mail IMAGE: A new Georgia Tech manufacturing process could enable battery makers to produce lighter, safer, and more energy-dense batteries. view more  Credit: Allison Carter, Georgia Tech A new fabrication technique could allow solid-state automotive lithium-ion batteries to adopt nonflammable ceramic electrolytes using the same production processes as in batteries made with conventional liquid electrolytes. The melt-infiltration technology developed by materials science researchers at the Georgia Institute of Technology uses electrolyte materials that can be infiltrated into porous yet densely packed, thermally stable electrodes. The one-step process produces high-density composites based on pressure-less, capillary-driven infiltration of a molten solid electrolyte into porous bodies, including multilayered electrode-separator stacks.

New method could democratize deep learning-enhanced microscopy

Loading video. VIDEO: A low-resolution time-lapse of a mitochondrial network (cell s powerhouse) inside a cancer cell (left) is enhanced using artificial intelligence (right). Inset at bottom left highlights a fission (splitting) event that. view more  Credit: Salk Institute/Waitt Advanced Biophotonics Core LA JOLLA (March 8, 2021) Deep learning is a potential tool for scientists to glean more detail from low-resolution images in microscopy, but it s often difficult to gather enough baseline data to train computers in the process. Now, a new method developed by scientists at the Salk Institute could make the technology more accessible by taking high-resolution images, and artificially degrading them.

Nanoenzymes designed with a unique combination of structure and functions

 E-Mail IMAGE: A) Spatial organisation of the catalytic biostructures. B) and C) Detail of the two types of amino acids and their interactions. view more  Credit: IBB-UAB Researchers at the UAB have designed minimalist biostructures that imitate natural enzymes, capable of carrying out two differentiated and reversibly regulated activities thanks to a unique combination of structural and functional properties. The strategy used opens the door to the creation of intelligent nanomaterials with tailor-made combinations of catalytic functions. There is an increasing interest in synthetic systems that can execute bioinspired chemical reactions without requiring the complex structures that characterise enzymes in their components. One of the most explored approaches is the self-assembly of peptides - molecules smaller than proteins - due to their biocompatibility and how their structural and functional properties can be controlled.

NSF CAREER award supports Schwartz s research on the Lebedev Process

 E-Mail Delving deeper into the chemical processes used to make various goods from biomass can help manufacturers use them with greater efficiency, and therefore, increase production. Thomas Schwartz aims to unravel the inner workings of a common method for crafting a compound for rubber known as butadiene, an effort backed by the National Science Foundation. The assistant professor of chemical engineering at the University of Maine received a $513,995 NSF CAREER Award to advance his ongoing dissection of the Lebedev process. The well-known, multi-step chemical reaction is used to make butadiene from biomass-derived ethanol. However, little research has been conducted on the Lebedev process at the molecular level.

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