Machine learning-based glass formation prediction in multicomponent alloys

被引:0
|
作者
Liu, Xiaodi [1 ]
Li, Xin [1 ]
He, Quanfeng [2 ]
Liang, Dandan [1 ,3 ]
Zhou, Ziqing [2 ]
Ma, Jiang [1 ]
Yang, Yong [2 ,4 ]
Shen, Jun [1 ]
机构
[1] Liu, Xiaodi
[2] Li, Xin
[3] He, Quanfeng
[4] 1,Liang, Dandan
[5] Zhou, Ziqing
[6] Ma, Jiang
[7] 2,Yang, Yong
[8] Shen, Jun
来源
Shen, Jun (junshen@szu.edu.cn) | 1600年 / Acta Materialia Inc卷 / 201期
基金
中国国家自然科学基金;
关键词
Backpropagation - Forecasting - Neural networks - Glass - Learning systems - Ternary alloys;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:182 / 190
相关论文
共 50 条
  • [1] Machine learning-based glass formation prediction in multicomponent alloys
    Liu, Xiaodi
    Li, Xin
    He, Quanfeng
    Liang, Dandan
    Zhou, Ziqing
    Ma, Jiang
    Yang, Yong
    Shen, Jun
    ACTA MATERIALIA, 2020, 201 : 182 - 190
  • [2] Machine Learning-Based Prediction of Antiferromagnetic Skyrmion Formation
    Saini, Shipra
    Shukla, Alok Kumar
    Nehete, Hemkant
    Bindal, Namita
    Kaushik, Brajesh Kumar
    IEEE TRANSACTIONS ON ELECTRON DEVICES, 2024, 71 (04) : 2774 - 2780
  • [3] Machine learning-based prediction of phases in high-entropy alloys
    Machaka, Ronald
    COMPUTATIONAL MATERIALS SCIENCE, 2021, 188
  • [4] Machine learning-based prediction of elastic properties of amorphous metal alloys
    Galimzyanov, Bulat N.
    Doronina, Maria A.
    Mokshin, Anatolii, V
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2023, 617
  • [5] Machine learning-based beta transus temperature prediction for titanium alloys
    Niu, Yong
    Hong, Zhi-qiang
    Wang, Yao-qi
    Zhu, Yan-chun
    JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T, 2023, 23 : 515 - 529
  • [6] Machine learning-based prediction of transfusion
    Mitterecker, Andreas
    Hofmann, Axel
    Trentino, Kevin M.
    Lloyd, Adam
    Leahy, Michael F.
    Schwarzbauer, Karin
    Tschoellitsch, Thomas
    Boeck, Carl
    Hochreiter, Sepp
    Meier, Jens
    TRANSFUSION, 2020, 60 (09) : 1977 - 1986
  • [7] Machine learning-based prediction of the mechanical properties of β titanium shape memory alloys
    Nohira, Naoki
    Ichisawa, Taichi
    Tahara, Masaki
    Kumazawa, Itsuo
    Hosoda, Hideki
    JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T, 2025, 34 : 2634 - 2644
  • [8] Machine Learning-Based Production Prediction Model and Its Application in Duvernay Formation
    Guo, Zekun
    Wang, Hongjun
    Kong, Xiangwen
    Li Shen
    Jia, Yuepeng
    ENERGIES, 2021, 14 (17)
  • [9] A Machine learning perspective on hardness prediction in multicomponent Al-Mg based lightweight alloys
    Jain, Sandeep
    Jain, Reliance
    Dewangan, Sheetal
    Bhowmik, Ayan
    MATERIALS LETTERS, 2024, 365
  • [10] Machine learning prediction of thermodynamic and mechanical properties of multicomponent Fe-Cr-based alloys
    Mukhamedov, B. O.
    Karavaev, K., V
    Abrikosov, I. A.
    PHYSICAL REVIEW MATERIALS, 2021, 5 (10)