Prediction of electronic work function of the second phase in binary magnesium alloy based on machine learning method

被引：0
|
作者：
Xiaoxiu Wei
Jianfeng Wang
Chao Wang
Shijie Zhu
Liguo Wang
Shaokang Guan
机构：
[1] Zhengzhou University,School of Materials Science and Engineering
来源：
Journal of Materials Research | 2022年 / 37卷
关键词：
Mg; Alloy; Second phases; Corrosion; Machine learning;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：3792 / 3802
页数：10
相关论文
共 50 条
  • [31] Machine Learning based Prediction Method of Pollution Concentration in the Atmosphere
    Salakhutdinova, Kseniya
    Kim, Iuliia
    Viksnin, Ilia
    Belyaev, Vladislav
    Tursukov, Nikita
    Neverov, Evgenii
    Krivtsova, Irina
    2021 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR INDUSTRY 4.0 & IOT (IEEE METROIND4.0 & IOT), 2021, : 71 - 76
  • [32] Machine learning-based precise monitoring of aluminium-magnesium alloy dust
    Zhao, Fengyu
    Gao, Wei
    Lu, Jianxin
    Jiang, Haipeng
    JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES, 2024, 92
  • [33] Phase prediction and experimental realisation of a new high entropy alloy using machine learning
    Singh, Swati
    Katiyar, Nirmal Kumar
    Goel, Saurav
    Joshi, Shrikrishna N.
    SCIENTIFIC REPORTS, 2023, 13 (01)
  • [34] Phase prediction and experimental realisation of a new high entropy alloy using machine learning
    Swati Singh
    Nirmal Kumar Katiyar
    Saurav Goel
    Shrikrishna N. Joshi
    Scientific Reports, 13
  • [35] A Global Machine Learning Based Scoring Function for Protein Structure Prediction
    Faraggi, Eshel
    Kloczkowski, Andrzej
    BIOPHYSICAL JOURNAL, 2014, 106 (02) : 656A - 657A
  • [36] A global machine learning based scoring function for protein structure prediction
    Faraggi, Eshel
    Kloczkowski, Andrzej
    PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 2014, 82 (05) : 752 - 759
  • [37] Vapor-liquid phase equilibria behavior prediction of binary mixtures using machine learning
    Sun, Guanlun
    Zhao, Zhenyu
    Sun, Shengjie
    Ma, Yiming
    Li, Hong
    Gao, Xin
    CHEMICAL ENGINEERING SCIENCE, 2023, 282
  • [38] The prediction of the ZnNi thickness and Ni % of ZnNi alloy electroplating using a machine learning method
    Katirci, R.
    Aktas, H.
    Zontul, M.
    TRANSACTIONS OF THE INSTITUTE OF METAL FINISHING, 2021, 99 (03): : 162 - 168
  • [39] CORROSION PREDICTION OF MAGNESIUM IMPLANT USING MULTISCALE MODELING BASED ON MACHINE LEARNING ALGORITHMS
    Mondal, Santu
    Samanta, Rahul
    Shit, Sahadeb
    Biswas, Arindam
    Bandyopadhyay, Atul
    Dhar, Rudra Sankar
    Mandal, Gurudas
    INTERNATIONAL JOURNAL FOR MULTISCALE COMPUTATIONAL ENGINEERING, 2024, 22 (04) : 125 - 141
  • [40] RETRACTED: Phase Prediction Study of High-Entropy Energy Alloy Generation Based on Machine Learning (Retracted Article)
    He, Zhongping
    Zhang, Huan
    COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022, 2022
12345