工作流程
化学
集合(抽象数据类型)
机器学习
人工智能
计算机科学
数据科学
程序设计语言
数据库
作者
Nongnuch Artrith,Keith T. Butler,François‐Xavier Coudert,Seungwu Han,Olexandr Isayev,Anubhav Jain,Aron Walsh
出处
期刊:Nature Chemistry
[Nature Portfolio]
日期:2021-05-31
卷期号:13 (6): 505-508
被引量:451
标识
DOI:10.1038/s41557-021-00716-z
摘要
Statistical tools based on machine learning are becoming integrated into chemistry research workflows. We discuss the elements necessary to train reliable, repeatable and reproducible models, and recommend a set of guidelines for machine learning reports.
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