数字化
计算机科学
氧化剂
软件
化学家
天然产物
编码(集合论)
程序设计语言
产品(数学)
工艺工程
软件工程
过程(计算)
嵌入式系统
化学
集合(抽象数据类型)
工程类
有机化学
电信
数学
几何学
作者
S. Hessam M. Mehr,Matthew Craven,Artem I. Leonov,Graham Keenan,Leroy Cronin
出处
期刊:Science
[American Association for the Advancement of Science]
日期:2020-10-02
卷期号:370 (6512): 101-108
被引量:196
标识
DOI:10.1126/science.abc2986
摘要
Paper in, product out A typical chemist running a known reaction will start by finding the method described in a published paper. Mehr et al. report a software platform that uses natural language processing to translate the organic chemistry literature directly into editable code, which in turn can be compiled to drive automated synthesis of the compound in the laboratory. The synthesis procedure is intended to be universally applicable to robotic systems operating in a batch reaction architecture. The full process is demonstrated for synthesis of an analgesic as well as common oxidizing and fluorinating agents. Science , this issue p. 101
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