The new paradigm of machine learning + multi-scale modeling + high performance computing is used to study the structural and dynamic properties of surface interface systems such as energy materials and physical chemistry, and the data-driven design of new materials. As the first/corresponding author, he has published many papers in Nature, Science, NSR, PRL, JACS, AM and other international authoritative academic journals. He was invited by Springer Nature, the world's largest publisher of scientific journals, to publish his doctoral thesis as an English monograph. She has won many honors such as Future Women Scientists Program, National Bo Xin Program, Beijing Outstanding Graduate, and Peking University Outstanding doctoral thesis. Teach undergraduate courses "Solid State Physics" and "Semiconductor Physics"; As the project leader, he presided over the Youth Project of the National Natural Science Foundation, the Bo New Plan, the Chongqing Natural Science Foundation project, and the post-Bo Science Fund project; As a research backbone, he participated in the key research and development plan of the Ministry of Science and Technology and key projects of the National Natural Science Foundation.

Adopting the new paradigm of machine learning + multi-scale modeling + high performance computing, the main research contents include:
1. Structure and Dynamics of surface interface systems of energy materials, physical chemistry, etc.
2. Design of data-driven new energy materials

2011-2015 Shandong University Undergraduate
2015-2020 PhD, Peking University

2020-present Beijing Institute of Technology

1. Visualizing Eigen/Zundel cations and their interconversion in monolayer water on metal surfaces. Science, 377:315-319 (2022). 共同一作、理论一作
2. Atomic imaging of edge structure and growth of a two-dimensional hexagonal ice. Nature 577, 60–63 (2020). 共同一作、理论一作
3. The effect of hydration number on the interfacial transport of sodium ions. Nature 557, 701-705 (2018). 共同一作、理论一作
4. Machine learning aided atomic structure identification of interfacial ionic hydrates from AFM images. Natl Sci Rev, nwac282 (2023). 通讯作者
5. Robustness of bilayer hexagonal ice against surface symmetry and corrugation. Phys. Rev. Lett. 129, 046001 (2022). 通讯作者
6. Visualizing the Promoting Role of Interfacial Water in the Deprotonation of Formic Acid on Cu(111). J. Am. Chem. Soc 146, 210–217 (2024). 通讯作者
7. Suppressing the Dynamic Oxygen Evolution of Sodium Layered Cathodes through Synergistic Surface Dielectric Polarization and Bulk Site‐Selective Co‐Doping. Adv. Mater. 2209556 (2022). 通讯作者
8. Advancing Accurate and Efficient Surface Behavior Modeling of Al Clusters with Machine Learning Potential. J. Phys. Chem. C. 127, 19115-19126 (2023). 通讯作者
9. Atomic insight into the interfacial effect on the molecular solvation. J. Phys. Chem. C. 126, 3756-3763 (2022). 通讯作者
10. Advances in Atomic Force Microscopy: Imaging of Two- and Three-Dimensional Interfacial Water. Front. Chem. 9:745446 (2021). 共同一作、通讯作者
11. Advances in Atomic Force Microscopy: Weakly Perturbative Imaging of the Interfacial Water. Front. Chem. 7, 626 (2019). 第一作者