奥氮平
随机森林
结晶
溶剂
化学
结晶学
晶体结构
材料科学
Crystal(编程语言)
有机化学
计算机科学
心理学
人工智能
精神分裂症(面向对象编程)
精神科
程序设计语言
作者
Rajni M. Bhardwaj,Susan M. Reutzel‐Edens,Blair F. Johnston,Alastair J. Florence
出处
期刊:CrystEngComm
[Royal Society of Chemistry]
日期:2018-01-01
卷期号:20 (28): 3947-3950
被引量:19
摘要
A random forest (RF) classification model obtained from physicochemical properties of solvents and crystal structures of olanzapine has for the first time enabled the prediction of 3-D crystal packings of solvates. A novel solvate was obtained by targeted crystallization from the solvent identified by RF model.
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