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RESEARCH PAPER · Crystal Growth & Design · 2022

ML Model Optimization–Selection and GFA Prediction for Binary Alloys

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ML Model Optimization–Selection and GFA Prediction for Binary AlloysOriginalDoes the GFA of Alloys Depend on the Atomic Size Ratio: A DT-Based ML Study3Prediction of glass-forming ability based on multi-model fusion7Identifying key features for predicting glass-forming ability of bulk metallic glasses via interpretable machine learning6Research and performance analysis of random forest-based feature selection algorithm in sports effectiveness evaluation22Machine Learning-Driven Prediction of Glass-Forming Ability in Ternary Oxide Glasses0

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  1. Does the GFA of Alloys Depend on the Atomic Size Ratio: A DT-Based ML Study

    Crystal Growth & Design · 2023-07-10

    Jiaming Pan, Yushuang Jia, Kenli Li, Lei Liao, Liping Qiu, Fan Wu, Zean Tian

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  2. Prediction of glass-forming ability based on multi-model fusion

    Journal of Non-Crystalline Solids · 2023-10-26

    Yangchuan Zeng, Zean Tian, Quan Zheng, Mingxiang Jiang, Yikun Peng

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  3. Identifying key features for predicting glass-forming ability of bulk metallic glasses via interpretable machine learning

    Journal of Materials Science · 2024-05-01

    Yangchuan Zeng, Zean Tian, Quan Zheng, Anguo Bu, Quan Xie

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  4. Research and performance analysis of random forest-based feature selection algorithm in sports effectiveness evaluation

    Scientific Reports · 2024-11-01

    Yujiao Li, Yi Mu

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  5. Machine Learning-Driven Prediction of Glass-Forming Ability in Ternary Oxide Glasses

    SSRN Electronic Journal · 2026-01-01

    Fatemeh Mahmoudi

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