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RESEARCH PAPER · Progress in Natural Science Materials International · 2025

Design and preparation of novel Fe-Si-B-P-C-Nb amorphous /nanocrystalline alloys guided by machine learning

Yifan He, Rui Sun, Shengdong Tang, Zilong Xu, Long Hou, Chaohao Hu, Chengying Tang, Yuqin Liu

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Design and preparation of novel Fe-Si-B-P-C-Nb amorphous /nanocrystalline alloys guided by machine learningOriginalInvestigation on the thermal stability, crystallization kinetics and magnetic properties of Fe-Si-B-P-C-Nb amorphous alloys4Tailoring glass forming ability and coercivity in iron-based nanocrystalline alloys through machine learning-driven feature interpretation1Design of Fe–Co-based amorphous/nanocrystalline alloy with Bs of 2.03T by physics guided active learning0Optimization of A356.2 alloy based on explainable ensemble learning with 40% enhancement in mechanical properties0Quantitative descriptor-dependent design of high-Bs Fe-based amorphous alloys using an interpretable machine learning framework0

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  1. Investigation on the thermal stability, crystallization kinetics and magnetic properties of Fe-Si-B-P-C-Nb amorphous alloys

    Progress in Natural Science Materials International · 2025-04-04

    Yifan He, Rui Sun, Zilong Xu, Jingjing Huang, Songwei Wang, Chengying Tang

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  2. Tailoring glass forming ability and coercivity in iron-based nanocrystalline alloys through machine learning-driven feature interpretation

    Journal of Non-Crystalline Solids · 2025-08-12

    Fuyao Yang, Ning Zhang, Aina He, Bojun Zhang, Yaqiang Dong, Jiawei Li, Qikui Man, Wenjun Wang, Yu Han, Bao-gen Shen

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  3. Design of Fe–Co-based amorphous/nanocrystalline alloy with Bs of 2.03T by physics guided active learning

    SSRN Electronic Journal · 2026-01-01

    Zilong Xu, Jingjing Huang, Hanyu Mao, Yinghui Zhou, Songwei Wang, Debin Wang, Jianqiang Wang, Chengying Tang

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  4. Optimization of A356.2 alloy based on explainable ensemble learning with 40% enhancement in mechanical properties

    SSRN Electronic Journal · 2026-01-01

    Yin Zhang, Ruonan Ma, Yichuan Tang, Shaopeng Liu, yue li, Yifan He, Silong Li, Chang Huang, Minxia Fang, Sen Yang

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  5. Quantitative descriptor-dependent design of high-Bs Fe-based amorphous alloys using an interpretable machine learning framework

    Journal of Alloys and Compounds · 2026-09-29

    Junli Wang, Hongjie Xu, Xuesong Li, Lianjie Dou, Bangshao Dong, Zhiyong Xue, Shaoxiong Zhou

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