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更新时间：2026.04.04
总访问量：10

唐令

| 博士 高校讲师 请选择

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办公地址： 屏峰校区理A303

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电子邮箱： lingtang@zjut.edu.cn
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  • 个人简介

    2001年毕业于南京理工大学电光学院光电子技术专业获工学学士学位。2008年毕业于中国科学院物理研究所获凝聚态物理专业博士学位。2008-2010年清华大学化学系博士后研究工作，2016-2017年美国Iowa State University/Ames Lab访问学者。2010年至今在浙江工业大学物理学院任教。近年来主要从事分子动力学模拟计算与晶体结构预测研究。先后在Acta Mater., J. Chem. Phys., Phys. Rev. B，Phys. Rev. Lett. 等国际期刊发表论文20余篇，主持和参与过国家自然科学青年基金和浙江省自然科学基金等项目。


  • 科研成果

    1. Ling Tang, Weiyi Xia, Gayatri Viswanathan, Ernesto Soto, Kirill Kovnir, and Cai-Zhuang Wang, Synthesis challenges, thermodynamic stability, and growth kinetics of La-Si-P ternary compounds, Journal of Materials Chemistry A 13, 39982-39991 (2025)


    2. Ling Tang, Weiyi Xia, Gayatri Viswanathan, Ernesto Soto, Kirill Kovnir, and Cai-Zhuang Wang, Developing a Neural Network Machine Learning Interatomic Potential for Molecular Dynamics Simulations of La-Si-P Systems, J. Chem. Phys. 163, 084109 (2025)


    3. Ling Tang, Chao Zhang, Yang Sun, Kai-Ming Ho, Renata M. Wentzcovitch, and Cai-Zhuang Wang, Structure and dynamics of Fe90Si3O7 liquids close to Earth’s liquid core conditions, Phys. Rev. B 108, 064104 (2023)


    4. Ling Tang, Mathew J. Kramer, Kai-Ming Ho, and Cai-Zhang Wang, Phase selection in aluminum rare-earth metallic alloys by molecular dynamics simulations using machine learning interatomic potentials, Phys. Rev. Materials 7, 025601 (2023)


    5. L. Tang, K. M. Ho, and C. Z. Wang, Molecular dynamics simulation of metallic Al-Ce liquids using a neural network machine learning interatomic potential, J. Chem. Phys. 155, 194503 (2021)


    6. L. Tang, Z. J. Yang, T. Q. Wen, K. M. Ho, M. J. Kramer, and C. Z. Wang, Short- and medium-range orders in Al90Tb10 glass and their relation to the structures of competing crystalline phases, Acta Materialia 204, 116513 (2021) 


    7. Insung Han, Joseph T. McKeown, Ling Tang, Cai-Zhuang Wang, Hadi Parsamehr, Zhucong Xi, Ying-Rui Lu, Matthew J. Kramer, and Ashwin J. Shahani, Dynamic Observation of Dendritic Quasicrystal Growth upon Laser-Induced Solid-State Transformation, Phys. Rev. Lett. 125, 195503 (2020)


    8. L. Tang, Z. J. Yang, T. Q. Wen, K. M. Ho, M. J. Kramer, and C. Z. Wang, Development of interatomic potential for Al–Tb alloys using a deep neural network learning method, Phys.Chem.Chem.Phys. 22, 18467-18479 (2020)


    9. L. Tang, T. Q. Wen, N. Wang, Y. Sun, F. Zhang, Z. J. Yang, K. M. Ho, and C. Z. Wang, Structural and chemical orders in Ni64.5Zr35.5 metallic glass by molecular dynamics simulation, Phys. Rev. Materials 2, 033601 (2018)






  • 个人简介

    2001年毕业于南京理工大学电光学院光电子技术专业获工学学士学位。2008年毕业于中国科学院物理研究所获凝聚态物理专业博士学位。2008-2010年清华大学化学系博士后研究工作，2016-2017年美国Iowa State University/Ames Lab访问学者。2010年至今在浙江工业大学物理学院任教。近年来主要从事分子动力学模拟计算与晶体结构预测研究。先后在Acta Mater., J. Chem. Phys., Phys. Rev. B，Phys. Rev. Lett. 等国际期刊发表论文20余篇，主持和参与过国家自然科学青年基金和浙江省自然科学基金等项目。


  • 科研成果

    1. Ling Tang, Weiyi Xia, Gayatri Viswanathan, Ernesto Soto, Kirill Kovnir, and Cai-Zhuang Wang, Synthesis challenges, thermodynamic stability, and growth kinetics of La-Si-P ternary compounds, Journal of Materials Chemistry A 13, 39982-39991 (2025)


    2. Ling Tang, Weiyi Xia, Gayatri Viswanathan, Ernesto Soto, Kirill Kovnir, and Cai-Zhuang Wang, Developing a Neural Network Machine Learning Interatomic Potential for Molecular Dynamics Simulations of La-Si-P Systems, J. Chem. Phys. 163, 084109 (2025)


    3. Ling Tang, Chao Zhang, Yang Sun, Kai-Ming Ho, Renata M. Wentzcovitch, and Cai-Zhuang Wang, Structure and dynamics of Fe90Si3O7 liquids close to Earth’s liquid core conditions, Phys. Rev. B 108, 064104 (2023)


    4. Ling Tang, Mathew J. Kramer, Kai-Ming Ho, and Cai-Zhang Wang, Phase selection in aluminum rare-earth metallic alloys by molecular dynamics simulations using machine learning interatomic potentials, Phys. Rev. Materials 7, 025601 (2023)


    5. L. Tang, K. M. Ho, and C. Z. Wang, Molecular dynamics simulation of metallic Al-Ce liquids using a neural network machine learning interatomic potential, J. Chem. Phys. 155, 194503 (2021)


    6. L. Tang, Z. J. Yang, T. Q. Wen, K. M. Ho, M. J. Kramer, and C. Z. Wang, Short- and medium-range orders in Al90Tb10 glass and their relation to the structures of competing crystalline phases, Acta Materialia 204, 116513 (2021) 


    7. Insung Han, Joseph T. McKeown, Ling Tang, Cai-Zhuang Wang, Hadi Parsamehr, Zhucong Xi, Ying-Rui Lu, Matthew J. Kramer, and Ashwin J. Shahani, Dynamic Observation of Dendritic Quasicrystal Growth upon Laser-Induced Solid-State Transformation, Phys. Rev. Lett. 125, 195503 (2020)


    8. L. Tang, Z. J. Yang, T. Q. Wen, K. M. Ho, M. J. Kramer, and C. Z. Wang, Development of interatomic potential for Al–Tb alloys using a deep neural network learning method, Phys.Chem.Chem.Phys. 22, 18467-18479 (2020)


    9. L. Tang, T. Q. Wen, N. Wang, Y. Sun, F. Zhang, Z. J. Yang, K. M. Ho, and C. Z. Wang, Structural and chemical orders in Ni64.5Zr35.5 metallic glass by molecular dynamics simulation, Phys. Rev. Materials 2, 033601 (2018)






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更新时间：2026.04.04
总访问量：10