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RESEARCH PAPER · The Physics of Metals and Metallography · 2024

Machine Learning Application for Functional Properties Prediction in Magnetic Materials

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Machine Learning Application for Functional Properties Prediction in Magnetic MaterialsOriginalMagnetically responsive intelligent fibers: nano-engineered materials and multifunctional integration for advanced applications9Exploring Routes to Calculating the Effective Magnetic Permeability of Polymer Magnetic Composites2Machine learning approach to predict the spacer layer thickness-dependent tunnel magnetoresistance in organic magnetic tunnel junctions2A multiscale review of magnetic permeability in polymer composites: Theory, simulation, and machine learning frontiers3Machine learning in magnetism: Progress, challenges, and perspectives2Adaptive stimuli-responsive adsorption materials for environmental remediation: A critical review of mechanisms, machine learning guided design and standardized evaluation3Machine learning-guided design of aluminum–silicon alloys with balanced strength and ductility0

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  1. Magnetically responsive intelligent fibers: nano-engineered materials and multifunctional integration for advanced applications

    Materials Horizons · 2025-01-01

    Wenping Cheng, Jie Dong, Liang Wei, Guodong Shen, Qiushi Wang, Runjun Sun

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  2. Exploring Routes to Calculating the Effective Magnetic Permeability of Polymer Magnetic Composites

    Polymer Composites · 2025-07-23

    Christian Brosseau

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  3. Machine learning approach to predict the spacer layer thickness-dependent tunnel magnetoresistance in organic magnetic tunnel junctions

    The European Physical Journal B · 2025-11-01

    Debarati Nath, Debajit Deb, Joseph Roy, Pamulapati Soujanya

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  4. A multiscale review of magnetic permeability in polymer composites: Theory, simulation, and machine learning frontiers

    Next Materials · 2025-11-25

    Vikram G. Kamble

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  5. Machine learning in magnetism: Progress, challenges, and perspectives

    Computational Materials Science · 2026-03-19

    Chao Jiang, Weifeng Xie, M. Z. Wang, Tiege Zhou, Wendong Song, Yunliang Yue, Xuelong Hu

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  6. Adaptive stimuli-responsive adsorption materials for environmental remediation: A critical review of mechanisms, machine learning guided design and standardized evaluation

    Separation and Purification Technology · 2026-05-20

    LI Dong, Yuehui Xia, Zhilin Xing, Jianhua Yuan, Fei Ying Yang, Zhenqi Du, Tiantao Zhao

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  7. Machine learning-guided design of aluminum–silicon alloys with balanced strength and ductility

    Journal of Materials Research and Technology · 2026-06-25

    Yi Zhao, Zijian He, Dianhui Wang, X Y Liu, Yiheng Chao, Juanchen Ye, Yan Zhong, Zhao Lu, 成丽春, Chaohao Hu

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