Machine learning-assisted exploration of thermally conductive polymers based on high-throughput molecular dynamics simulations

被引：0
|
作者：
Ma, Ruimin [1 ]
Zhang, Hanfeng [1 ]
Xu, Jiaxin [1 ]
Sun, Luning [1 ]
Hayashi, Yoshihiro [2 ]
Yoshida, Ryo [2 ]
Shiomi, Junichiro [3 ]
Wang, Jian-xun [1 ]
Luo, Tengfei [1 ,4 ]
机构：
[1] Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN,46556, United States
[2] The Institute of Statistical Mathematics, Research Organization of Information and Systems, Tachikawa, Tokyo,190-8562, Japan
[3] Department of Mechanical Engineering, University of Tokyo, Bunkyo-ku, Tokyo,113-8656, Japan
[4] Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, IN,46556, United States
来源：
Materials Today Physics | 2022年 / 28卷
关键词：
All Open Access; Bronze;
D O I：
暂无
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学科分类号：
摘要：
Molecular dynamics
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