Predicting Natural Rubber Crystallinity by a Novel Machine Learning Algorithm Based on Molecular Dynamics Simulation Data-Reference-Cited by-同舟云学术

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

Published:2023-11-20 Issue:48 Volume:39 Page:17088-17099
ISSN:0743-7463
Container-title:Langmuir
language:en
Short-container-title:Langmuir

Author:

Chen Qionghai¹²³,Liu Zhanjie⁴,Huang Yongdi⁴,Hu Anwen⁴,Huang Wanhui¹²³,Zhang Liqun¹²^ORCID,Cui Lihong⁴,Liu Jun¹²³^ORCID

Affiliation:

1. 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

2. Beijing Engineering Research Center of Advanced Elastomers, Beijing University of Chemical Technology, Beijing 100029, People’s Republic of China

3. Interdisciplinary Research Center for Artificial Intelligence, Beijing University of Chemical Technology, Beijing100029, People’s Republic of China

4. College of Mathematics and Physics, Beijing University of Chemical Technology, Beijing100029, People’s Republic of China

Funder

Fok Ying Tung Education Foundation

National Science Fund for Distinguished Young Scholars

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Subject

Electrochemistry,Spectroscopy,Surfaces and Interfaces,Condensed Matter Physics,General Materials Science

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.langmuir.3c01878

Reference57 articles.