概括性
范围(计算机科学)
工作流程
管理科学
期限(时间)
计算机科学
风险分析(工程)
数据科学
平面图(考古学)
工程类
钥匙(锁)
工作(物理)
工程伦理学
运筹学
作者
Samson B. Zacate,Juliana A. Dantas,Song Lin,Abigail G. Doyle,Matthew S. Sigman
出处
期刊:Angewandte Chemie
[Wiley]
日期:2025-09-09
卷期号:64 (41): e202511091-e202511091
被引量:2
标识
DOI:10.1002/anie.202511091
摘要
The term "generality" has recently been popularized in synthetic chemistry, owing largely to the increasing use of high-throughput technology for producing vast quantities of data and the emergence of data science tools to plan and interpret these experiments. Despite this, the term has not been clearly defined, and there is no standardized approach toward developing a method with a diverse (general) scope. This minireview will examine different emerging strategies toward achieving generality using selected examples and aims to give the reader an overview of modern workflows that have been used to expedite this pursuit.
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