Machine learning framework IDs targets for improving catalysts
Chemists have developed a new machine-learning (ML) framework that can zero in on which steps of a multistep chemical conversion should be tweaked to improve productivity. The approach could help guide the design of catalysts — chemical ‘dealmakers’ that speed up reactions.
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