Application of Machine Learning and Reaction Optimization for the Iterative Improvement of Enantioselectivity of Cinchona-Derived Phase Transfer Catalysts

已完结 10 由小太阳发布于 2024/5/28 9:36:11

DOI:10.1021/acs.oprd.1c00155
作者：Katrina W. Lexa, Kevin M. Belyk*, Jeremy Henle, Bangping Xiang, Robert P. Sheridan, Scott E. Denmark, Rebecca T. Ruck, Edward C. Sherer*
文献类型：期刊论文
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American Chemical Society (ACS)

Abstract：Molecular design benefits from a strong partnership between chemical intuition and machine learning. Given the proliferation of machine learning in the small molecule catalyst space, several

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