Predicting Natural Rubber Crystallinity by a Novel Machine Learning Algorithm Based on Molecular Dynamics Simulation Data.

Chen, Qionghai; Liu, Zhanjie; Huang, Yongdi; Hu, Anwen; Huang, Wanhui; Zhang, Liqun; Cui, Lihong; Liu, Jun

Chen, Qionghai; Liu, Zhanjie; Huang, Yongdi; Hu, Anwen; Huang, Wanhui; Zhang, Liqun; Cui, Lihong; Liu, Jun.

Afiliación

Chen Q; Key Laboratory of Beijing City on Preparation and Processing of Novel Polymer Materials, Beijing University of Chemical Technology, Beijing 100029, People's Republic of China.
Liu Z; Beijing Engineering Research Center of Advanced Elastomers, Beijing University of Chemical Technology, Beijing 100029, People's Republic of China.
Huang Y; Interdisciplinary Research Center for Artificial Intelligence, Beijing University of Chemical Technology, Beijing100029, People's Republic of China.
Hu A; College of Mathematics and Physics, Beijing University of Chemical Technology, Beijing100029, People's Republic of China.
Huang W; College of Mathematics and Physics, Beijing University of Chemical Technology, Beijing100029, People's Republic of China.
Zhang L; College of Mathematics and Physics, Beijing University of Chemical Technology, Beijing100029, People's Republic of China.
Cui L; Key Laboratory of Beijing City on Preparation and Processing of Novel Polymer Materials, Beijing University of Chemical Technology, Beijing 100029, People's Republic of China.
Liu J; Beijing Engineering Research Center of Advanced Elastomers, Beijing University of Chemical Technology, Beijing 100029, People's Republic of China.

Langmuir ; 39(48): 17088-17099, 2023 Dec 05.

Article en En | MEDLINE | ID: mdl-37983181

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Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Langmuir Asunto de la revista: QUIMICA Año: 2023 Tipo del documento: Article