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RESEARCH PAPER · Chemistry of Materials · 2019

Selecting Doping Elements by Data Mining for Advanced Magnets

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Selecting Doping Elements by Data Mining for Advanced MagnetsOriginalHow non-ferromagnetic Mn enhances the magnetization of SmCo 7 based alloys24Stepwise assembly of multidimensional Al–Pb based coordination polymers2Integrating data mining and machine learning to discover high-strength ductile titanium alloys190Computational screening of the magnetocaloric materials1Modelling of phase stability: integrating computational materials science and materials informatics3Mitigating the formation of amorphous shear band in boron carbide12Magnetic performance oriented composition design of Sm-Co based alloys by machine learning and experimental studies22Machine learning approach for delamination detection with feature missing and noise polluted vibration characteristics12Predictions on the Phase Constitution of SmCo7−XMx Alloys by Data Mining6Recent progress in nanocrystalline Sm–Co based magnets35Mechanical properties prediction of composite laminate with FEA and machine learning coupled method101Accelerated discovery of cost-effective Nd–Fe–B magnets through adaptive learning7Multi-objective optimization for high-performance Fe-based metallic glasses via machine learning approach15Predicting the Curie temperature of Sm-Co-based alloys via data-driven strategy16Breaking through the trade-off between saturation magnetization and coercivity: A data-driven strategy14Nanocrystalline SmCo7 main-phase alloys with high magnetic properties: a comprehensive study of structure and phase stability1Data-driven high-throughput search for the accelerated discovery of rare-earth-free permanent magnets1Rare‐Earth‐Free Iron‐Based Permanent Magnets: Progress, Challenges, and Perspectives5Interpretable Machine Learning Predicting Coercivity of Sm‐Co‐Based Alloys1Synergistic enhancement of coercivity and saturation magnetization in Sm-Co alloys via multi-element doping0Cross-scale regulation mechanisms of alloying elements on the mechanical properties of β-Ti alloys: a synergistic strategy to integrate machine learning and first-principles calculations0

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  1. How non-ferromagnetic Mn enhances the magnetization of SmCo 7 based alloys

    Nanoscale · 2020-01-01

    Kai Guo, Hao Lü, Fei Mao, Dong Liu, Fawei Tang, Haibin Wang, Xiaoyan Song

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  2. Stepwise assembly of multidimensional Al–Pb based coordination polymers

    Journal of Solid State Chemistry · 2020-10-20

    San‐Tai Wang, Wei‐Hui Fang, Shu‐Hua Zhang

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  3. Integrating data mining and machine learning to discover high-strength ductile titanium alloys

    Acta Materialia · 2020-10-27

    Chengxiong Zou, Jinshan Li, William Yi Wang, Ying Zhang, De-Ye Lin, Ruihao Yuan, Xiaodan Wang, Bin Tang, Jun Wang, Xingyu Gao, Hongchao Kou, Xidong Hui, Xiaoqin Zeng, Ma Qian, Haifeng Song, Zi‐Kui Liu, Dongsheng Xu

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  4. Computational screening of the magnetocaloric materials

    Handbook of magnetic materials · 2021-01-01

    Ivan Batashev, G. A. de Wijs, E. Brück

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  5. Modelling of phase stability: integrating computational materials science and materials informatics

    Journal of Materials Informatics · 2021-01-01

    Xiaoyan Song, Kai Guo, Hao Lu, Dong Liu, Fawei Tang

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  6. Mitigating the formation of amorphous shear band in boron carbide

    Journal of Applied Physics · 2021-04-12

    Yidi Shen, Jon Fuller, Qi An

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  7. Magnetic performance oriented composition design of Sm-Co based alloys by machine learning and experimental studies

    Computational Materials Science · 2022-02-04

    Kai Guo, Hao Lü, Zhi Hao Zhao, Fawei Tang, Haibin Wang, Xiaoyan Song

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  8. Machine learning approach for delamination detection with feature missing and noise polluted vibration characteristics

    Composite Structures · 2022-02-12

    Yushu Li, Huichao Liu, Ke Chao Zhou, Huasong Qin, Wenshan Yu, Yilun Liu

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  9. Predictions on the Phase Constitution of SmCo7−XMx Alloys by Data Mining

    Nanomaterials · 2022-04-24

    Guojing Xu, Hao Lü, Kai Guo, Fawei Tang, Xiaoyan Song

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  10. Recent progress in nanocrystalline Sm–Co based magnets

    Materials Today Chemistry · 2022-06-03

    Kai Guo, H. Lu, Guojing Xu, D. Liu, H.B. Wang, X.M. Liu, Xiaoyan Song

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  11. Mechanical properties prediction of composite laminate with FEA and machine learning coupled method

    Composite Structures · 2022-08-12

    Chen Zhang, Yushu Li, Biao Jiang, Ruigang Wang, Yilun Liu, Liyong Jia

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  12. Accelerated discovery of cost-effective Nd–Fe–B magnets through adaptive learning

    Journal of Materials Chemistry A · 2023-01-01

    Jie Chen, Jian Liu, Minjuan Zhang, Zhanji Dong, Zhongjie Peng, Xinyi Ji, Mei Liu, Lanting T. Zhang, Anqi Zhang, Hong Min Zhu

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  13. Multi-objective optimization for high-performance Fe-based metallic glasses via machine learning approach

    Journal of Alloys and Compounds · 2023-05-30

    Yuxing Zhang, She-Juan Xie, Wei Peng Guo, Jun Cai Ding, Leong Hien Poh, Zhen-Dong Sha

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  14. Predicting the Curie temperature of Sm-Co-based alloys via data-driven strategy

    Acta Materialia · 2024-05-20

    Guojing Xu, Feng Cheng, Hao Lü, Chao Ran Hou, Xiaoyan Song

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  15. Breaking through the trade-off between saturation magnetization and coercivity: A data-driven strategy

    Acta Materialia · 2025-03-16

    Peixin Liu, Hao Lü, Guojing Xu, Feng Cheng, C.S. Han, Xiaoyan Song

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  16. Nanocrystalline SmCo7 main-phase alloys with high magnetic properties: a comprehensive study of structure and phase stability

    Transactions of Materials Research · 2025-07-01

    C.S. Han, Hao Lü, Feng Cheng, Guojing Xu, Peixin Liu, Xuemei Liu, Xiaoyan Song, Zuoren Nie

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  17. Data-driven high-throughput search for the accelerated discovery of rare-earth-free permanent magnets

    Physical Review Materials · 2025-10-01

    Junaid Jami, Nitish Bhagat, Amrita Bhattacharya

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  18. Rare‐Earth‐Free Iron‐Based Permanent Magnets: Progress, Challenges, and Perspectives

    MetalMat · 2025-10-25

    Sunbeom Park, Ji Kwon Bae, Sung Hyuk Park, Hee Ryeong Kwon, Ho Won Jang

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  19. Interpretable Machine Learning Predicting Coercivity of Sm‐Co‐Based Alloys

    Materials Genome Engineering Advances · 2026-03-01

    Guojing Xu, Hao Lu, Peixin Liu, Feng Cheng, C.S. Han, XiaoYan SONG

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  20. Synergistic enhancement of coercivity and saturation magnetization in Sm-Co alloys via multi-element doping

    Journal of Material Science and Technology · 2026-08-22

    Peixin Liu, Hao Lu, Guojing Xu, C.S. Han, Mengyao Shang, Xiaoyan Song

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  21. Cross-scale regulation mechanisms of alloying elements on the mechanical properties of β-Ti alloys: a synergistic strategy to integrate machine learning and first-principles calculations

    Journal of Materials Science · 2026-09-17

    Chumeng Xiang, Jingzhou Wen, Junlei Yin, Chengxiong Zou, William Yi Wang, Jinshan Li, Na Yan, Huiqing Fan

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