Machine Learning Descriptors for Data-Driven Catalysis Study.
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DOI: 10.1002/advs.202301020
Abstract: Traditional trial-and-error experiments and theoretical simulations have difficulty optimizing catalytic processes and developing new, better-performing catalysts. Machine learning (ML) provides a promising approach for accelerating catalysis research due to its powerful learning and predictive abilities.… read more here.
Keywords: catalysis; learning descriptors; machine learning; data driven ... See more keywords