Multi-objective optimization for high-performance Fe-based metallic glasses via machine learning approach

被引：0
|
作者：
Zhang, Yu-Xing [1 ,2 ]
Xie, She-Juan [1 ]
Guo, Wei [3 ]
Ding, Jun [4 ]
Poh, Leong Hien [5 ]
Sha, Zhen-Dong [1 ,6 ]
机构：
[1] State Key Laboratory for Strength and Vibration of Mechanical Structures, School of Aerospace Engineering, Xi'an Jiaotong University, Xi'an,710049, China
[2] China Electronics Technology Group Corporation, 52nd Research Institute, Hang'zhou,310000, China
[3] State Key Lab of Materials Processing and Die & Mould Technology, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan,430074, China
[4] Center for Alloy Innovation and Design, State Key Laboratory for Mechanical Behavior of Materials, Xi'an Jiaotong University, Xi'an,710049, China
[5] Department of Civil and Environmental Engineering, National University of Singapore, 1 Engineering Drive 2, E1A-07-03, Singapore, 117576, Singapore
[6] State Key Laboratory of Nonlinear Mechanics, Institute of Mechanics, Chinese Academy of Sciences, Beijing,100190, China
来源：
Journal of Alloys and Compounds | 2023年 / 960卷
关键词：
All Open Access; Green;
D O I：
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中图分类号：
学科分类号：
摘要：
75
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