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RESEARCH PAPER · Rare Metals · 2024

Optimizing magnetoelastic properties by machine learning and high‐throughput micromagnetic simulation

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Optimizing magnetoelastic properties by machine learning and high‐throughput micromagnetic simulationOriginalA Magnetoelastic Effect-Guided Design for Micro Stress/Strain Detector Using Deep Learning9Strain-controlled switching of magnetic skyrmioniums in ultrathin nanodisks4Research progress of rare earth magnetic materials based on machine learning2Small-displacement mechanical energy harvesting through magnetic phase transition materials2High-Precision Noncontact Angle Measurement via Transfer Learning-Enhanced Magnetic Field Distribution Analysis2MXene as a hydrogen storage material18Exploring the composition - property relationship of magnetostrictive materials: A deep learning driven saturation magnetostriction coefficient predictor3Data driven structure property relationship and rational design of rare-earth magnetostrictive materials0Atypical (Lu1-yMny)(Ni1-yMny)2 (y ≤ 0.5) solid solutions with C15 type Laves phase structure0Recent advances in design of magnetic functional alloys assisted by machine learning0

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  1. A Magnetoelastic Effect-Guided Design for Micro Stress/Strain Detector Using Deep Learning

    IEEE Sensors Journal · 2024-01-04

    Jianhu Gong, Zhengming Zhang, Hongchang Wang, Dunhui Wang

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  2. Strain-controlled switching of magnetic skyrmioniums in ultrathin nanodisks

    Applied Physics Letters · 2024-10-14

    Hongchang Wang, Zhengming Zhang, Jianhu Gong, Dunhui Wang, Baomin Wang

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  3. Research progress of rare earth magnetic materials based on machine learning

    Acta Physica Sinica · 2025-01-01

    Dan Liu, Yuan Li, Ruoxuan SUN, Qi Xing, Baogen Shen

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  4. Small-displacement mechanical energy harvesting through magnetic phase transition materials

    The Innovation Energy · 2025-01-01

    Zhengming Zhang, Tongtong Zhou, Yong Sheng Hu, Hongchang Wang, Chenyu Zhang, Chenyu Zhang, Xucai Kan, Kun Xu, Bo Yang, Yongle Li, Pengyu Zhao, Pengtao Cheng, Pengtao Cheng, Hanghang Fu, Zhe Li, Chengliang Zhang, Chengliang Zhang, Dunhui Wang

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  5. High-Precision Noncontact Angle Measurement via Transfer Learning-Enhanced Magnetic Field Distribution Analysis

    IEEE Sensors Journal · 2025-04-21

    H. S. Fu, Jianhu Gong, Zhengming Zhang, D. H. Wang

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  6. MXene as a hydrogen storage material

    Applied Physics Reviews · 2025-09-01

    Qinqin Wei, Hui Luo, Cunke Huang, Zhiqiang Lan, Jin Guo, Xinhua Wang, Haizhen Liu

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  7. Exploring the composition - property relationship of magnetostrictive materials: A deep learning driven saturation magnetostriction coefficient predictor

    Computational Materials Science · 2025-11-22

    Shilin Wang, Chao Zhou, Tianhao Wang, Sen Yang

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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. Atypical (Lu1-yMny)(Ni1-yMny)2 (y ≤ 0.5) solid solutions with C15 type Laves phase structure

    Solid State Sciences · 2026-08-20

    Evgeny G. Gerasimov, A.M. Bartashevich, Nikolay V. Mushnikov, Mikhail Aleksandrovich Semkin, P. B. Terentev, A.A. Inishev, V.S. Gaviko, А. Н. Пирогов, Д. А. Колодкин, Elena B. Marchenkova

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  10. Recent advances in design of magnetic functional alloys assisted by machine learning

    Applied Physics Reviews · 2026-08-31

    PengQiang HU, Chao Zhou, Sidan Ding, Ruisheng Zhang, Yizhe Ma, Kun Wang, HongWen CHEN, Zhiyong Dai, Rui Zhang, Xiaoqin Ke, Zhengming Zhang, Dunhui Wang, Yao Liu, Qiang Wang, Tie Liu, Chun Hua Wu, Tianli Zhang, Jingmin Wang, Jie Zhu, Xuexu Gao, Dan Huang, Yin Zhang, Fanghua Tian, Kaiyan Cao, Sen Yang

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