共晶
人工智能
计算机科学
机器学习
多态性(计算机科学)
晶体结构预测
晶体结构
化学
结晶学
分子
生物化学
基因
氢键
基因型
有机化学
作者
Tianyu Heng,Dezhi Yang,Ruonan Wang,Li Zhang,Yang Lü,Guanhua Du
出处
期刊:ACS omega
[American Chemical Society]
日期:2021-06-11
卷期号:6 (24): 15543-15550
被引量:26
标识
DOI:10.1021/acsomega.1c01330
摘要
Artificial intelligence (AI) is a technology that builds an artificial system with certain intelligence and uses computer software and hardware to simulate intelligent human behavior. When combined with drug research and development, AI can considerably shorten this cycle, improve research efficiency, and minimize costs. The use of machine learning to discover novel materials and predict material properties has become a new research direction. On the basis of the current status of worldwide research on the combination of AI and crystal form and cocrystal, this mini-review analyzes and explores the application of AI in polymorphism prediction, crystal structure analysis, crystal property prediction, cocrystal former (CCF) screening, cocrystal composition prediction, and cocrystal formation prediction. This study provides insights into the future applications of AI in related fields.
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