Prediction of plastic yield surface for porous materials by a machine learning approach

被引:0
|
作者
Shen, W.Q. [1 ,2 ]
Cao, Y.J. [3 ]
Shao, J.F. [1 ,2 ]
Liu, Z.B. [1 ]
机构
[1] [1,Shen, W.Q.
[2] Cao, Y.J.
[3] 1,Shao, J.F.
[4] Liu, Z.B.
来源
Shen, W.Q. (wanqing.shen@polytech-lille.fr) | 1600年 / Elsevier Ltd卷 / 25期
基金
中国国家自然科学基金;
关键词
Porosity - Yield stress - Numerical methods - Machine learning - Homogenization method - Forecasting - Neural networks;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [1] Prediction of plastic yield surface for porous materials by a machine learning approach
    Shen, W. Q.
    Cao, Y. J.
    Shao, J. F.
    Liu, Z. B.
    MATERIALS TODAY COMMUNICATIONS, 2020, 25
  • [2] Prediction of Teff Yield Using a Machine Learning Approach
    Mulatu, Adugna Necho
    Tamir, Eneyachew
    ARTIFICIAL INTELLIGENCE AND DIGITALIZATION FOR SUSTAINABLE DEVELOPMENT, ICAST 2022, 2023, 455 : 159 - 176
  • [3] Prediction of interface yield stress and plastic viscosity of fresh concrete using a hybrid machine learning approach
    The-Duong Nguyen
    Thu-Hien Tran
    Nhat-Duc Hoang
    ADVANCED ENGINEERING INFORMATICS, 2020, 44
  • [4] An Approach for Potato Yield Prediction Using Machine Learning Regression Algorithms
    Patnaik, Prabhu Prasad
    Padhy, Neelamadhab
    NEXT GENERATION OF INTERNET OF THINGS, 2023, 445 : 327 - 336
  • [5] A machine learning approach for the prediction of overall deceased donor organ yield
    Marrero, Wesley J.
    Lavieri, Mariel S.
    Guikema, Seth D.
    Hutton, David W.
    Parikh, Neehar D.
    SURGERY, 2021, 170 (05) : 1561 - 1567
  • [6] Cotton Yield Prediction: A Machine Learning Approach With Field and Synthetic Data
    Mitra, Alakananda
    Beegum, Sahila
    Fleisher, David
    Reddy, Vangimalla R.
    Sun, Wenguang
    Ray, Chittaranjan
    Timlin, Dennis
    Malakar, Arindam
    IEEE ACCESS, 2024, 12 : 101273 - 101288
  • [7] Machine Learning Approach for Prediction of Reaction Yield with Simulated Catalyst Parameters
    Yada, Akira
    Nagata, Kenji
    Ando, Yasunobu
    Matsumura, Tarojiro
    Ichinoseki, Sakina
    Sato, Kazuhiko
    CHEMISTRY LETTERS, 2018, 47 (03) : 284 - 287
  • [8] California Almond Yield Prediction at the Orchard Level With a Machine Learning Approach
    Zhang, Zhou
    Jin, Yufang
    Chen, Bin
    Brown, Patrick
    FRONTIERS IN PLANT SCIENCE, 2019, 10
  • [9] PROBING POROUS MATERIALS WITH MACHINE LEARNING
    Fairen-Jimenez, David
    ADVANCED MATERIALS & PROCESSES, 2020, 178 (06): : 7 - 7
  • [10] A machine learning approach for the prediction of protein surface loop flexibility
    Hwang, Howook
    Vreven, Thom
    Whitfield, Troy W.
    Wiehe, Kevin
    Weng, Zhiping
    PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 2011, 79 (08) : 2467 - 2474