'Bandit' algorithms help chemists to discover generally applicable conditions for reactions
成果类型：
Editorial Material
署名作者：
Wang, Jason Y.; Doyle, Abigail G.
署名单位：
University of California System; University of California Los Angeles
刊物名称：
Nature
ISSN/ISSBN：
0028-6299
DOI：
10.1038/d41586-024-00446-5
发表日期：
2024-04-04
页码：
45-46
关键词：
摘要：
In organic chemistry, finding conditions that enable a broad range of compounds to undergo a particular type of reaction is highly desirable. However, conventional methods for doing so consume a lot of time and reagents. A machine-learning method has been developed that overcomes these problems.