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

中图分类号：

学科分类号：

摘要：

Molecular dynamics

引用