Design of Experimental Conditions with Machine Learning for Collaborative Organic Synthesis Reactions Using Transition-Metal Catalysts
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DOI: 10.1021/acsomega.1c04826
Abstract: To improve product yields in synthetic reactions, it is important to use appropriate catalysts. In this study, we used machine learning to design catalysts for a reaction system in which both Buchwald–Hartwig-type and Suzuki–Miyaura-type cross-coupling… read more here.
Keywords: machine; machine learning; learning collaborative; experimental conditions ... See more keywords