Identifying optimal catalyst materials for specific reactions is crucial to advance energy storage technologies and sustainable chemical processes. To screen catalysts, scientists must understand ...

A machine learning technique rapidly rediscovered rules governing catalysts that took humans years of difficult calculations to reveal--and even explained a deviation. The University of Michigan team ...

(Nanowerk Spotlight) The integration of machine learning (ML) into materials science is rapidly transforming the way researchers discover and design advanced ...

To date, research in the field of combinatorial catalysts has relied on serendipitous discoveries of catalyst combinations. Now, scientists from Japan have streamlined a protocol that combines random ...

No longer. healthcare.ai is on a mission to make machine learning accessible to the thousands of healthcare professionals who possess little or no data science skills but who share an interest in ...

A machine learning technique rapidly rediscovered rules governing catalysts that took humans years of difficult calculations to reveal -- and even explained a deviation. The team that developed the ...