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Unlocking the secrets of chemical bonding with machine learning

A new machine learning approach offers important insights into catalysis by providing a tool to design efficient catalytic processes. The Bayeschem model explains how catalysts interact with different intermediates and determines the optimal bond strengths.

SourceVirginia Tech·JournalNature Communications·DateDec 4, 2020