中文

    Tongyi Zhang
    创建时间:  2025-09-19  荆瑞    浏览次数:

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    NAME

    Tong-Yi Zhang

    BIRTH DATE

    October 1949

    TITLE/POSITION

    Professor

    PHONE


    EMAIL

    zhangty@shu.edu.cn

    Education

    Education

    1982-1985, Doctoral Research (USTB) [received Ph.D degree in 1985].Thesis title: Mechanism of Hydrogen Induced Cracking in Metals.

    1979-1982, Master's Research (USTB) [received Master degree in 1982]. Thesis title: Loop Error in a Pressure-Magnetism Transducer.

    Research Interests

    1. Materials/mechanics informatics;

    2. AI for Materials/mechanics informatics;

    3. AI materials/mechanics laboratories;

    4. AI materials/mechanics computations.

    Significant Recognition

    The International Congress on Fracture, Vice President (2023-present);

    Founding Director of the Materials Genome Initiative division in the Chinese Materials Research Society(2017-present);

    Director (2016-present) of the Ninth Session of the division for Environmental Degradation and Failure of Materials and Structures in the Chinese Society for Corrosion and Protection.

    Significant Professional Service

    Editor-in- Chief, Journal of Materials Informatics (2021-present);

    Editor-in- Chief, Science China Technological Science (2018–2022);

    Fracture and Continuum Mechanics Subject-Editor, Theoretical and Applied Fracture Mechanics (2013–present).

    Selected Publications

    Books and Chapters:

    1. Tong-Yi Zhang, An Introduction to Materials Informatics (I) The Elements of Machine Learning, Science China Press, Beijing, China (2022).

    2. Chi-Mei Hsiao (XIAO Jimei) and Tong-Yi Zhang, Chapter 4, Iron and Steels, in “Microstructure and Properties of Materials” Volume 2, edited by J.C.M. Li, World Scientific Publishing Co., (2000) 179-333.

    3. Tong-Yi Zhang, Chapter 6, Residual Stresses in Thin Films in Microelectronic and Microelectromechanical Systems, in “Handbook on Residual Stress”, Second Edition, Vol. I, edited by Jian Lu, Society for Experimental Mechanics, Inc., (2005) 329-402.

    4. Tong-Yi Zhang, Microbridge Tests, Chapter 10 in “Micro and Nano Mechanical Testing of Materials and Devices”, edited by Fuqian Yang and J.C.M. Li, Springer Science+Business Media, LLC, (2008) pp. 215-285.

    5. Tong-Yi Zhang, Fracture of Piezoelectric Materials, in Volume F, pp. 1808-1825, and Strip Dielectric Breakdown Model in Piezoelectric Fracture Mechanics, in Volume S, pp. 4646-4654, Encyclopedia of Thermal Stresses (2014), Editor: Hetnarski RB, Springer Dordrecht, Heidelberg, New York, London.

    Journal Papers:

    1. Hao Tian, Jianchao He, Jie Xiong, Xufeng Xia, Lei Zhao, Jun Mei, Yan Qi, Tong-Yi Zhang, Enhancing thermal shock resistance of TiZrCuNi brazed joints via strategic niobium addition, Materials Science & Engineering A 943 (2025) 148842. https://doi.org/10.1016/j.msea.2025.148842

    2. Jun Gao, Zhenhuan Gao, Xue Fan, Sergei Manzhos, Tongyi Zhang, and Yi Liu, Transfer learning of high-dimensional features via attention-based embedding for Ni-based superalloys, Journal of Applied Physics, DOI: 10.1063/5.0271603

    3. Xiuling Shi, Jiaqi Zhu, Bingxu Chen, Bin Cao, Binfeng Lv, Zihan Wang, Sheng Sun, Kaikai Li, Tong-Yi Zhang, Dissecting the chemical strain in inactive components of sodium-ion battery cathodes, Scripta Materialia 268 (2025) 116880. https://doi.org/10.1016/j.scriptamat.2025.116880

    4. Daniel Hollarek, Henrik Schopmans, Jona Östreicher, Jonas Teufel, Bin Cao, Adie Alwen, Simon Schweidler, Mriganka Singh, Tim Kodalle, Hanlin Hu, Gregoire Heymans, Maged Abdelsamie, Arthur Hardiagon, Alexander Wieczorek, Siarhei Zhuk, Ruth Schwaiger, Sebastian Siol, François-Xavier Coudert, Moritz Wolf, Carolin M. Sutter-Fella, Ben Breitung, Andrea M. Hodge, Tong-yi Zhang, Pascal Friederich, opXRD: Open Experimental Powder X-Ray Diffraction Database, Advanced Intelligent Discovery, 2025; 0:e2500044, https://doi.org/10.1002/aidi.202500044

    5. Rong Fu, Tianhao Su, Musen Li, Yue Wu, Runhai Ouyang, Danica Solina, Michael Cortie, Tongyi Zhang, Shunbo Hu & Zhongming Ren, Physics-guided deep learning strategy for 2D structure reconstruction from diffraction patterns, Communications Physics | (2025) 8:221. https://doi.org/10.1038/s42005-025-02152-8

    Website

    https://scholar.google.com/citations?user=73CwaSUAAAAJ&hl=zh-CN&oi=ao







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