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 ...

Rediscovering science: New knowledge hidden in old data

What if the knowledge that could fuel the next scientific breakthrough has simply been forgotten in an old graph or table? Valuable scientific insights may already exist across decades of published experiments, yet remain ...

Clearing contamination from car interiors

Under controlled conditions, Flinders University researchers are investigating third-hand contamination risk from methamphetamine use. Environmental health experts have found open windows and ventilation can reduce but not ...

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