High-throughput– tag –
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OAE Publishing Reports AI Agents and LLMs Enable Experimental Synthesis of Five ‘AI-Dreamed’ MOFs Through High-Throughput Automation
OAE Publishing Inc. China Overview OAE Publishing has released a groundbreaking paper on MOF (metal-organic framework) and COF (covalent-organic framework) discovery utilizing AI agents and large language models (LLMs). The study details... -
University of Tennessee Secures $20M NSF Grant for ATHENA: Pioneering AI-Driven Autonomous Materials Discovery
University of Tennessee, Tickle College of Engineering USA Overview The University of Tennessee (UT) has been awarded a $20 million NSF grant to establish ATHENA, an Advanced Testbed for High-throughput Experimentation in Nano- and Atomi... -
Accelerating Functional Materials Development with New Multiscale Molecular Design Framework for Thermogelling Polymers Mimicking Biological Tissues
ChemRxiv USA Overview A recent review paper introduces a novel framework for multiscale molecular design of thermogelling polymers, aiming to synthesize materials that mimic biological tissues. This framework integrates precise polymer s... -
Iowa State Researchers Launch AI-Powered ‘Autonomous Discovery Engine’ Accelerating Hunt for Stronger, Rare-Earth-Free Magnets by 40-60%
SUPERCOMPUTING NEWS USA Overview Iowa State University researchers are accelerating the discovery of stronger, rare-earth-free magnets with an 'autonomous discovery engine' integrating AI and high-performance computing (HPC). This novel ... -
DIFFER Establishes ‘Self-Driving Labs’ to Accelerate Energy Materials Discovery by Up to 60% with AI-Guided Automation
DIFFER (Dutch Institute for Fundamental Energy Research) Netherlands Overview The Dutch Institute for Fundamental Energy Research (DIFFER) has established 'Self-Driving Labs' (SDLs) to drastically accelerate materials discovery for energ... -
Argonne National Laboratory Unveils ‘ChemGraph’ AI Tool to Accelerate Innovation in Chemistry and Materials Science
Argonne National Laboratory USA Overview Researchers at the U.S. Department of Energy's Argonne National Laboratory have developed 'ChemGraph,' a pioneering AI tool designed to streamline scientific workflows and accelerate materials des... -
Ames Lab Explores AI to Break Rare Earth Magnet Monopoly, Accelerating Discovery of Cost-Effective, High-Performance Domestic Magnets
Rare Earth Exchanges USA Overview Ames National Laboratory is utilizing AI, combined with physics-based modeling and high-throughput simulations, to accelerate the discovery of rare-earth-free permanent magnets, aiming to reduce U.S. dep... -
Ames Lab Pioneers AI-Driven Roadmap for Rare-Earth-Free Permanent Magnet Design, Accelerating Discovery and Strengthening US Supply Chain
Ames National Laboratory USA Overview Researchers at Ames National Laboratory are utilizing an AI-driven roadmap, combining fundamental physics, high-throughput simulations, and reasoning-based AI, to accelerate the discovery of material... -
Megalibraries Spearhead Autonomous Materials Discovery, Outpacing Self-Driving Labs in High-Quality Data Generation for AI
Northwestern University (via News) USA Overview Northwestern University's Professor Chad Mirkin demonstrated that megalibraries, a high-throughput materials platform, are positioned to generate vast, high-quality data essential for AI-dr...
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