Scientists at the U.S. Department of Energy's (DOE) Brookhaven National Laboratory developed a new machine learning framework that can accelerate the search for better catalysts -- the materials that speed up chemical reactions -- and offer more reliable results.
Researchers at the Department of Energy's SLAC National Accelerator Laboratory and collaborating institutions recently built a generative AI model that can recreate molecular structures from the movement of the molecule's ions after they are blasted apart by X-rays, a technique called Coulomb explosion imaging.
Scientists at DOE's Argonne National Laboratory are using supercomputers and AI to predict how carbon behaves under extreme conditions. Their discoveries enable the design of advanced materials for medicine, energy and national security -- before they are ever made in a lab.
Oak Ridge National Laboratory researchers invented a reusable adhesive from waste polymers that is tougher than commercial glues, works underwater as well as in dry environments, and bonds a variety of materials, including wood, glass, metal, paper and polymers.
Researchers from Argonne, University of Chicago and Purdue University use inverse design, powered by AI and robotics, to rapidly discover recipes for electrochromic polymers, showing how starting from the desired property speeds up material innovation.
To unlock materials of the future, including better photocatalysts or light-switchable superconductors, researchers need to understand how the valence electrons within materials respond to light at the atomic scale.
New research from the Department of Energy's Oak Ridge National Laboratory, in collaboration with The Ohio State University and Amphenol Corporation, challenges conventional understanding about controlling heat flow in solid materials.
A team of researchers, including scientists at the Department of Energy's SLAC National Accelerator Laboratory, investigated a class of metal nanoparticles used as catalysts in major industrial processes. They found that adding a trace amount of platinum to copper nanoparticles greatly reduced an effect known as "sintering," which causes these catalysts to degrade over time.
The Department of Energy (DOE) today announced significant progress in research and development initiatives to increase the supply chain for isotopically enriched materials. These materials are critical to quantum information science and other advanced technologies.
Understanding what complex chemical measurements reveal about materials and reactions can take weeks or months of analysis.
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