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Developing novel low-density high-entropy superalloys with high strength and superior creep resistance guided by automated machine learning 期刊论文
ACTA MATERIALIA, 2025, 卷号: 285, 页码: 17
作者:  Li, Yancheng;  Pang, Jingyu;  Li, Zhen;  Wang, Qing;  Wang, Zhenhua;  Li, Jinlin;  Zhang, Hongwei;  Jiao, Zengbao;  Dong, Chuang;  Liaw, Peter K.
收藏  |  浏览/下载：1/0  |  提交时间：2025/04/27
High-entropy superalloys  gamma/gamma' microstructural stability  Mechanical mechanisms  Deformation mechanisms  Machine learning  
Accelerating phase-field simulation of multi-component alloy solidification by shallow artificial neural network 期刊论文
COMPUTATIONAL MATERIALS SCIENCE, 2025, 卷号: 248, 页码: 9
作者:  Gong, Tongzhao;  Hao, Weiye;  Fan, Weiqi;  Chen, Yun;  Chen, Xing-Qiu;  Li, Dianzhong
收藏  |  浏览/下载：2/0  |  提交时间：2025/04/27
Phase-field method  Machine learning  Solidification  Multi-component alloy  Calculation of phase diagram  
Accelerating phase-field simulation of multi-component alloy solidification by shallow artificial neural network 期刊论文
COMPUTATIONAL MATERIALS SCIENCE, 2025, 卷号: 248, 页码: 9
作者:  Gong, Tongzhao;  Hao, Weiye;  Fan, Weiqi;  Chen, Yun;  Chen, Xing-Qiu;  Li, Dianzhong
收藏  |  浏览/下载：2/0  |  提交时间：2025/04/27
Phase-field method  Machine learning  Solidification  Multi-component alloy  Calculation of phase diagram  
Machine learning-enabled design of Fe-based bulk metallic glasses for superior thermal neutron absorption properties 期刊论文
JOURNAL OF ALLOYS AND COMPOUNDS, 2025, 卷号: 1010, 页码: 10
作者:  Gao, Jin;  Hou, Jianxin;  Wu, Yuting;  Ji, Baoting;  Wang, Debin;  Qiu, Keqiang;  You, Junhua;  Wang, Jianqiang
收藏  |  浏览/下载：1/0  |  提交时间：2025/04/27
Bulk metallic glasses  Machine learning  Nuclear energy  Glass-forming ability  Neutron absorption  
Machine learning-enabled design of Fe-based bulk metallic glasses for superior thermal neutron absorption properties 期刊论文
JOURNAL OF ALLOYS AND COMPOUNDS, 2025, 卷号: 1010, 页码: 10
作者:  Gao, Jin;  Hou, Jianxin;  Wu, Yuting;  Ji, Baoting;  Wang, Debin;  Qiu, Keqiang;  You, Junhua;  Wang, Jianqiang
收藏  |  浏览/下载：1/0  |  提交时间：2025/04/27
Bulk metallic glasses  Machine learning  Nuclear energy  Glass-forming ability  Neutron absorption  
Machine learning-enabled design of Fe-based bulk metallic glasses for superior thermal neutron absorption properties 期刊论文
JOURNAL OF ALLOYS AND COMPOUNDS, 2025, 卷号: 1010, 页码: 10
作者:  Gao, Jin;  Hou, Jianxin;  Wu, Yuting;  Ji, Baoting;  Wang, Debin;  Qiu, Keqiang;  You, Junhua;  Wang, Jianqiang
收藏  |  浏览/下载：1/0  |  提交时间：2025/04/27
Bulk metallic glasses  Machine learning  Nuclear energy  Glass-forming ability  Neutron absorption  
Investigation on the Structure Profile of Precise Copper Tube by Three-Roll Planetary Rolling Based on Finite Element Simulation Assisted by Machine Learning 期刊论文
JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE, 2024, 页码: 14
作者:  Liu, Jin-Song;  Sun, Yang-Le;  Chen, Da-Yong;  Song, Hong-Wu;  Zhang, Shi-Hong;  Chen, Chuan-Lai
收藏  |  浏览/下载：1/0  |  提交时间：2025/04/27
axial extension coefficient  finite element method  machine learning  structure profile  three-roll planetary rolling  
Recent advances in machine learning-assisted fatigue life prediction of additive manufactured metallic materials: A review 期刊论文
JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY, 2024, 卷号: 198, 页码: 111-136
作者:  Wang, H.;  Gao, S. L.;  Wang, B. T.;  Ma, Y. T.;  Guo, Z. J.;  Zhang, K.;  Yang, Y.;  Yue, X. Z.;  Hou, J.;  Huang, H. J.;  Xu, G. P.;  Li, S. J.;  Feng, A. H.;  Teng, C. Y.;  Huang, A. J.;  Zhang, L. -C.;  Chen, D. L.
收藏  |  浏览/下载：1/0  |  提交时间：2025/04/27
Fatigue  Additive manufacturing  Metallic alloys  Machine learning  
Recent advances in machine learning-assisted fatigue life prediction of additive manufactured metallic materials: A review 期刊论文
JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY, 2024, 卷号: 198, 页码: 111-136
作者:  Wang, H.;  Gao, S. L.;  Wang, B. T.;  Ma, Y. T.;  Guo, Z. J.;  Zhang, K.;  Yang, Y.;  Yue, X. Z.;  Hou, J.;  Huang, H. J.;  Xu, G. P.;  Li, S. J.;  Feng, A. H.;  Teng, C. Y.;  Huang, A. J.;  Zhang, L. -C.;  Chen, D. L.
收藏  |  浏览/下载：1/0  |  提交时间：2025/04/27
Fatigue  Additive manufacturing  Metallic alloys  Machine learning  
Predicting mechanical properties of low-alloy steels using features extracted from Electron Backscatter Diffraction characterization 期刊论文
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T, 2024, 卷号: 33, 页码: 6494-6507
作者:  Li, Yu;  Zhao, Jingxiao;  Li, Xiucheng;  Xing, Zhao;  Duan, Qiqiang;  Liang, Xiaojun;  Wang, Xuemin
收藏  |  浏览/下载：1/0  |  提交时间：2025/04/27
Machine learning  EBSD  Microstructure  Mechanical properties  Multi-parametric description