首页|期刊导航|Journal of Magnesium and Alloys|A machine learning potential for simulation the dislocation behavior of magnesium

A machine learning potential for simulation the dislocation behavior of magnesium

Jincheng Kan Zhigang Ding Xiang Chen Huaiyu Hou Yonghao Zhao Wei Liu

Journal of Magnesium and Alloys2026，Vol.16Issue(3)：P.518-532,15.

Journal of Magnesium and Alloys2026，Vol.16Issue(3)：P.518-532,15.DOI:10.1016/j.jma.2024.11.009

A machine learning potential for simulation the dislocation behavior of magnesium

Jincheng Kan ¹Zhigang Ding ¹Xiang Chen ¹Huaiyu Hou ¹Yonghao Zhao ²Wei Liu³

作者信息

1. Nano and Heterogeneous Materials Center,School of Materials Science and Engineering,Nanjing University of Science and Technology,Nanjing,Jiangsu 210094,China
2. Nano and Heterogeneous Materials Center,School of Materials Science and Engineering,Nanjing University of Science and Technology,Nanjing,Jiangsu 210094,China School of Materials Science and Engineering,Hohai University,Changzhou 213200,China
3. Nano and Heterogeneous Materials Center,School of Materials Science and Engineering,Nanjing University of Science and Technology,Nanjing,Jiangsu 210094,China State Key Laboratory of Rare Earth Resource Utilization,Changchun Institute of Applied Chemistry,Chinese Academy of Sciences,Changchun,Jilin 130022,China
折叠

摘要

关键词

Magnesium/Machine learning potential/Density functional theory/Molecular dynamics/Dislocation.

分类

矿业与冶金

引用本文复制引用

Jincheng Kan,Zhigang Ding,Xiang Chen,Huaiyu Hou,Yonghao Zhao,Wei Liu..A machine learning potential for simulation the dislocation behavior of magnesium[J].Journal of Magnesium and Alloys,2026,16(3):P.518-532,15.

基金项目

financial support of the National Natural Science Foundation of China(No.51931003,52130110),the Natural Science Foundation of Jiangsu Province(No.BK20211198) （No.51931003,52130110）

the Fundamental Research Funds for the Central Universities(No.30922010905) （No.30922010905）

The authors thank Markus Stricker(Materials Informatics and Data Sciences,Ruhr-Universität Bochum,Germany)for providing the dislocation core structures predicted by DFT and NNP63. （Materials Informatics and Data Sciences,Ruhr-Universität Bochum,Germany）

Journal of Magnesium and Alloys

ISSN：2213-9567

访问量0

下载量0

段落导航