Machine-Learning-Based Predictive Modeling of Glass Transition Temperatures: A Case of Polyhydroxyalkanoate Homopolymers and Copolymers

标题
Machine-Learning-Based Predictive Modeling of Glass Transition Temperatures: A Case of Polyhydroxyalkanoate Homopolymers and Copolymers
作者
关键词
-
出版物
Journal of Chemical Information and Modeling
Volume 59, Issue 12, Pages 5013-5025
出版商
American Chemical Society (ACS)
发表日期
2019-11-08
DOI
10.1021/acs.jcim.9b00807

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