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RESEARCH PAPER · Materials & Design · 2024

Machine learning assisted design and preparation of Fe85Si2B8.5P3.5C1 amorphous/nanocrystalline alloy with high B and low H

Shengdong Tang, Rui Sun, Yifan He, Guichang Liu, Ruixuan Wang, Yuqin Liu, Chengying Tang

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Machine learning assisted design and preparation of Fe85Si2B8.5P3.5C1 amorphous/nanocrystalline alloy with high B and low HOriginalImprovement of soft magnetic properties for Fe-based amorphous/nanocrystalline alloy by longitudinal magnetic field annealing20Discovery of high Fe content amorphous alloys with desired soft magnetic properties by incremental machine learning12The enhanced soft magnetic properties of FeSiBPCu nanocrystalline alloys by doping C and segmented annealing7Investigate the composition effect of Cu-Nb-B-Fe soft magnetic metallic glasses using deep learning method1Process optimization for synthesizing α-Al2O3 with tailored morphology and dispersibility by interpretable incremental machine learning3Design of Fe–Co-based amorphous/nanocrystalline alloy with Bs of 2.03T by physics guided active learning0Several issues on the development of soft magnetic composites for high-power magnetic devices0Data driven structure property relationship and rational design of rare-earth magnetostrictive materials0Closed-loop active-inverse learning for constrained discovery of high-resistivity Fe-based amorphous alloys0Why machine learning struggles with magnetism? The role of temperature, disorder, and spin physics0Novel intelligent design method of soft magnetic metallic glasses with excellent magnetic properties by utilizing machine learning technology0Modulation of Soft Magnetic Properties in Fe-Based Amorphous and Nanocrystalline Alloys for Power Transformers: A Review0

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  1. Improvement of soft magnetic properties for Fe-based amorphous/nanocrystalline alloy by longitudinal magnetic field annealing

    Journal of Non-Crystalline Solids · 2025-01-06

    Mufeng Jiang, Jingjing Wang, Mingjuan Cai, Jun Li, Wanying Dong, Zhijun Guo, Baolong Shen

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  2. Discovery of high Fe content amorphous alloys with desired soft magnetic properties by incremental machine learning

    Journal of Alloys and Compounds · 2025-04-18

    Yichuan Tang, Yin Zhang, Ruonan Ma, Shaopeng Liu, Silong Li, Kun Wang, Minxia Fang, Kaiyan Cao, Chao Zhou, Chuanhui Cheng, Sen Yang

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  3. The enhanced soft magnetic properties of FeSiBPCu nanocrystalline alloys by doping C and segmented annealing

    Journal of Alloys and Compounds · 2025-05-25

    Xiaoping Chen, Z.G. Zheng, Biqiong Yu, Bin Xiao, Zhaoguo Qiu, D.C. Zeng

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  4. Investigate the composition effect of Cu-Nb-B-Fe soft magnetic metallic glasses using deep learning method

    Journal of Materials Research and Technology · 2025-08-15

    Z.-H. Huang, Tiantian Zhang

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  5. Process optimization for synthesizing α-Al2O3 with tailored morphology and dispersibility by interpretable incremental machine learning

    Materials & Design · 2025-12-03

    Jilun Zhang, Huaqiang Zhu, Nian Zhou, Xiangdong Su

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  6. 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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  7. Several issues on the development of soft magnetic composites for high-power magnetic devices

    Journal of Science Advanced Materials and Devices · 2026-06-02

    Jiayi He, Wenyue Song, Chunyun Jiang, Xiangdong Li, Yiting Yang, Bang Zhou, Libing Lu, Jinbo Cai, Min Nie, Hai Guo

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  8. Data driven structure property relationship and rational design of rare-earth magnetostrictive materials

    Chinese Physics B · 2026-08-17

    Dan Liu, Ying Tong, Yuan Li, Xinqi Zheng, Qiong Wu, Ruoshui Liu, Xin Ming, Yinong Yin, Jianfeng Xi, Tongyun Zhao, Fengxia Hu, Baogen Shen

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  9. Closed-loop active-inverse learning for constrained discovery of high-resistivity Fe-based amorphous alloys

    Materials & Design · 2026-08-28

    Guoen Yu, Yuanyuan Wang, Ming Gao, Yifan Duan, Chicheng Ren, Kewei Zhang, Wei Zhang, Haifeng Zhang, Zhengwang Zhu

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  10. Why machine learning struggles with magnetism? The role of temperature, disorder, and spin physics

    Cell Reports Physical Science · 2026-09-23

    Varun Chaudhary

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  11. Novel intelligent design method of soft magnetic metallic glasses with excellent magnetic properties by utilizing machine learning technology

    Journal of Non-Crystalline Solids · 2026-09-26

    Z.Y Li, Y.L Hou, Y.B Li, Y Wu, J.H Zhao, K.W Zhang

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  12. Modulation of Soft Magnetic Properties in Fe-Based Amorphous and Nanocrystalline Alloys for Power Transformers: A Review

    Materials · 2026-10-09

    Jiashuai Ge, Xinjiang Zhang, Cailiu Yin, Zhao Lu, Bin Li

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