Smarter search for fuel-cell catalysts uses machine learning

A computational method combining generative AI with atomistic simulations can identify promising platinum alloy catalyst structures for hydrogen fuel cells, report researchers from Science Tokyo. Their approach addresses ...

Engineers develop a new system to track material design processes

Discovering and characterizing new materials is important for unlocking advances in fields like clean energy, advanced manufacturing, and improved infrastructure. Researchers use machine learning and other computational tools ...

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