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Ultra‑robust machine‑learning models run stable molecular simulations at extreme temperatures
Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...
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Manchester team builds ML models for stable molecular simulations at high heat
Researchers at The University of Manchester have built a machine-learning model that prevents simulated molecules from flying ...
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Computational chemistry unlocked: A record-breaking dataset to train AI models has launched
Open Molecules 2025, an unprecedented dataset of molecular simulations, has been released to the scientific community, paving the way for the development of machine learning tools that can accurately ...
Heavy metal contamination in soils remains a persistent global challenge, threatening food safety, water quality, and ...
Chemist Jixin Chen looked at the rapid spread of COVID-19 early in the pandemic and saw a novel opportunity for his kinetics lab, where they study the rates of reactions. Chemist Jixin Chen looked at ...
Models, by definition, are approximations: useful, informative, and inevitably incomplete, because they are the only way to simplify a world too complex to grasp all at once. A new study on nitrous ...
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