Impact of Model Selection and Conformational Effects on the Descriptors for In Silico Screening Campaigns: A Case Study of Rh-Catalyzed Acrylate Hydrogenation
Data-driven catalyst design is a promising approach for addressing the challenges in identifying suitable catalysts for synthetic transformations. Models with descriptor calculations relying solely on the precatalyst structure are potentially generalizable but may overlook catalyst–substrate interac...
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Veröffentlicht in: | Journal of physical chemistry. C 2024-05, Vol.128 (19), p.7987-7998 |
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Sprache: | eng |
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