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RESEARCH PAPER · Crystals · 2026

Machine Learning-Driven Prediction of Microstructural Evolution and Mechanical Properties in Heat-Treated Steels Using Gradient Boosting

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Machine Learning-Driven Prediction of Microstructural Evolution and Mechanical Properties in Heat-Treated Steels Using Gradient BoostingOriginalInterpretable Machine Learning for Mechanical Property Prediction of 5Cr-0.5Mo Steel: SHAP Explainability, Multi-Model Comparison, and Uncertainty Quantification0Modeling and control of Stelmor cooling process: advances, challenges and perspectives0A critical review: Machine learning and advanced simulation in steel heat treatment0

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  1. Interpretable Machine Learning for Mechanical Property Prediction of 5Cr-0.5Mo Steel: SHAP Explainability, Multi-Model Comparison, and Uncertainty Quantification

    Metals · 2026-09-07

    Saurabh Tiwari, Hyoju Ahn, Jongwon Lee, Nokeun Park

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  2. Modeling and control of Stelmor cooling process: advances, challenges and perspectives

    Journal of Iron and Steel Research International · 2026-09-08

    Yong-Cheng He, Yi-Liu Fang, Lin-Lin Zhang, Dong Liang, Min Zhou, Wei-Wei Wang

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  3. A critical review: Machine learning and advanced simulation in steel heat treatment

    Proceedings of the Institution of Mechanical Engineers Part L Journal of Materials Design and Applications · 2026-10-09

    Johnson Sunday Alabi, Oluwapelumi Oluwaseyi Adejumo, Boluwatife Stephen Ojo, Victor Somtochukwu Mbanugo, Anuoluwapo Blessing Bello

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