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RESEARCH PAPER · Journal of Materials Engineering and Performance · 2025

Machine Learning-Assisted Process Optimization of Al-Mg-Si Alloys

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Machine Learning-Assisted Process Optimization of Al-Mg-Si AlloysOriginalLeveraging causal discovery and causal inference to improve interpretability of Charpy impact toughness5Gradient-Based Calibration of a Precipitation Hardening Model for 6xxx Series Aluminium Alloys6Machine Learning-Accelerated Development of Li-Rich Layered Oxides with High Reversible Capacity and Coulombic Efficiency3MOPSO-Based Data Augmentation and Hardness-Assisted Interpretable Machine Learning for Accurate Prediction of Mechanical Properties of Mg Alloys0Optimization of Hot Forming Process Parameters of 7050 Aluminum Alloy Based on TOPSIS and EWM0Recent Advancements in Aluminum Alloy Research: Integrating Traditional Metallurgy with Machine Learning and Data-Driven Approaches3Fe impurity control in secondary aluminum alloys: a critical review of purification and upcycling0Assessment of ZE41 Magnesium Hybrid Composites: Mechanical Properties, Wear Behaviour and Taguchi-Machine Learning-Assisted EDM Performance Prediction0

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  1. Leveraging causal discovery and causal inference to improve interpretability of Charpy impact toughness

    Computational Materials Science · 2025-08-12

    Tian ning Xu, Jing Bai, Xujie Gong, Ruichao Lei, Yu Jing Yan

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  2. Gradient-Based Calibration of a Precipitation Hardening Model for 6xxx Series Aluminium Alloys

    Metals · 2025-09-19

    Amir Alizadeh, Maaouia Souissi, Mian Zhou, Hamid Assadi

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  3. Machine Learning-Accelerated Development of Li-Rich Layered Oxides with High Reversible Capacity and Coulombic Efficiency

    ACS Nano · 2025-12-26

    Guolong Zhao, Yibin Luo, Dongdong Fan, Yongjian Cui, Jia Yang, Kaixin Liu, Xin Du, Rui Wang, H. L. Wang

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  4. MOPSO-Based Data Augmentation and Hardness-Assisted Interpretable Machine Learning for Accurate Prediction of Mechanical Properties of Mg Alloys

    Journal of Materials Engineering and Performance · 2026-01-21

    Rong Zhang, Hongxue Cui, Yongfan Li, Yongjian Wang, Junwei Pei, Chen Zhang, Liping Zhong

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  5. Optimization of Hot Forming Process Parameters of 7050 Aluminum Alloy Based on TOPSIS and EWM

    Coatings · 2026-03-19

    Guosheng Fei, Xiaoci Chen, Daijian Wu, Zuofa Liu

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  6. Recent Advancements in Aluminum Alloy Research: Integrating Traditional Metallurgy with Machine Learning and Data-Driven Approaches

    Applied Sciences · 2026-05-13

    Pooya Parvizi, Alireza Mohammadi Amidi, Mohammad Reza Zangeneh, Mohammad Javad Beigrezaee, Jordi‐Roger Riba, Milad Jalilian

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  7. Fe impurity control in secondary aluminum alloys: a critical review of purification and upcycling

    Materials & Design · 2026-06-25

    Xue Wang, Jiajun Jiang, Xiangbin Li, Jiaxing Zeng, Qiang Song, Huixin Jin

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  8. Assessment of ZE41 Magnesium Hybrid Composites: Mechanical Properties, Wear Behaviour and Taguchi-Machine Learning-Assisted EDM Performance Prediction

    Journal of Materials Engineering and Performance · 2026-08-17

    T. Venkata Naga Kishore, P. Kishore Kumar, Sd. Abdul Kalam, Murugesan Venkatasudhahar, D. Vijay Praveen, P. Umamaheswarrao, Anchupogu Praveen

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