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An explainable machine learning model for superalloys creep life prediction coupling with physical metallurgy models and CALPHAD 期刊论文
COMPUTATIONAL MATERIALS SCIENCE, 2023, 卷号: 227, 页码: 11
作者:  Huang, Yuyu;  Liu, Jide;  Zhu, Chongwei;  Wang, Xinguang;  Zhou, Yizhou;  Sun, Xiaofeng;  Li, Jinguo
收藏  |  浏览/下载：15/0  |  提交时间：2024/01/07
Creep life prediction  Explainable machine learning  Physical metallurgy models  CALPHAD  
Regulating kinetics of deformation-induced phase transformation in amorphous alloy composite via tuning nano-scale compositional heterogeneity in crystalline phase 期刊论文
INTERMETALLICS, 2018, 卷号: 93, 页码: 72-76
作者:  Mu, J;  Wang, JL;  Zhao, ZY;  Zhu, ZW;  Zheng, SJ;  Ai, ZR;  Wang, YD;  Wang, YD (reprint author), Northeastern Univ, Sch Mat Sci & Engn, Key Lab Anisotropy & Texture Mat MOE, Shenyang 110004, Liaoning, Peoples R China.;  Zhu, ZW (reprint author), Chinese Acad Sci, Inst Met Res, Shenyang Natl Lab Mat Sci, 72 Wenhua Rd, Shenyang 110016, Liaoning, Peoples R China.
收藏  |  浏览/下载：130/0  |  提交时间：2018/06/05
Metallic-glass Composites  Shape-memory Alloys  Martensitic-transformation  Physical Metallurgy  Ductile Dendrites  Youngs Modulus  B2 Particles  Trip Steels  Behavior  Cuzr