'Bandit' algorithms help chemists to discover generally applicable conditions for reactions

被引：0
|
作者：
Wang, Jason Y. [1 ]
Doyle, Abigail G. [1 ]
机构：
[1] Univ Calif Los Angeles, Los Angeles, CA 90095 USA
来源：
NATURE | 2024年 / 628卷 / 8006期
关键词：
Organic chemistry; Chemistry; Synthesis; Machine learning;
D O I：
10.1038/d41586-024-00446-5
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
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.
引用
收藏
页码：45 / 46
页数：2
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