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Matter and Radiation at Extremes, Volume. 10, Issue 3, 033801(2025)

Advances in high-pressure materials discovery enabled by machine learning

Zhenyu Wang1,2、*, Xiaoshan Luo1,3, Qingchang Wang1, Heng Ge1, Pengyue Gao1, Wei Zhang1, Jian Lv1, and Yanchao Wang1
Author Affiliations
  • 1Key Laboratory of Material Simulation Methods and Software of Ministry of Education, College of Physics, Jilin University, Changchun 130012, People’s Republic of China
  • 2International Center of Future Science, Jilin University, Changchun 130012, People’s Republic of China
  • 3State Key Laboratory of Superhard Materials, College of Physics, Jilin University, Changchun 130012, People’s Republic of China
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    Zhenyu Wang, Xiaoshan Luo, Qingchang Wang, Heng Ge, Pengyue Gao, Wei Zhang, Jian Lv, Yanchao Wang. Advances in high-pressure materials discovery enabled by machine learning[J]. Matter and Radiation at Extremes, 2025, 10(3): 033801

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    Paper Information

    Received: Dec. 29, 2024

    Accepted: Feb. 24, 2025

    Published Online: Jul. 16, 2025

    The Author Email:

    DOI:10.1063/5.0255385

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology