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Machine learning-driven insights into the microstructure and properties of high-entropy alloys

Xiaoyi Zhang Wenhan Zhou Xiang Li Tong Xu Yongzhen Yu Lei Zheng Guanhua Jin Shengli Zhang

Advanced Powder Materials2025，Vol.4Issue(5)：P.98-121,24.

Advanced Powder Materials2025，Vol.4Issue(5)：P.98-121,24.DOI:10.1016/j.apmate.2025.100331

Machine learning-driven insights into the microstructure and properties of high-entropy alloys

Xiaoyi Zhang ¹Wenhan Zhou ¹Xiang Li ¹Tong Xu ¹Yongzhen Yu ¹Lei Zheng ¹Guanhua Jin ²Shengli Zhang¹

作者信息

1. MIIT Key Laboratory of Advanced Display Materials and Devices,Jiangsu Engineering Research Center for Quantum Dot Display,School of Materials Science and Engineering,Institute of Optoelectronics&Nanomaterials,Nanjing University of Science and Technology,Nanjing 210094,China
2. College of Energy and Chemical Engineering,Xinjiang Institute of Technology,Wensu 843100,China
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摘要

关键词

High entropy alloys/Machine learning/Materials computation/Structural design/Physical property prediction

分类

矿业与冶金

引用本文复制引用

Xiaoyi Zhang,Wenhan Zhou,Xiang Li,Tong Xu,Yongzhen Yu,Lei Zheng,Guanhua Jin,Shengli Zhang..Machine learning-driven insights into the microstructure and properties of high-entropy alloys[J].Advanced Powder Materials,2025,4(5):P.98-121,24.

基金项目

financially supported by the National Natural Science Foundation of China(Project No.52473236,62304109) （Project No.52473236,62304109）

Natural Science Foundation of Xinjiang Uygur Autonomous Region of China(Project No.2024D01C62). （Project No.2024D01C62）

Advanced Powder Materials

ISSN：2772-834X

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