LI Jian
Associate Professor
The Advanced Interdisciplinary Sciences Research (AIR) Center
Group：AI+ Materials and Design
lijianalpha@nimte.ac.cn
Research Interests
1. Unsupervised Machine Learning Force Fields: Construction of unsupervised learning force fields specifically for magnetic materials.
2. AI Agents for Materials Science: Development of intelligent material agents utilizing Materials Big Data and Large Language Models (LLMs).
3. Quantum Many-Body Physics: Computational methods for quantum many-body systems.
Biography
2024 – Present
Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences (NIMTE, CAS) Associate Professor, Ningbo, China
2022 – 2024
DiDi Global Inc.Senior Algorithm Engineer, Beijing, China
2016 – 2022
Beijing Computational Science Research Center (CSRC) Ph.D. in Condensed Matter Physics
2012 – 2016
Sun Yat-sen University B.S. in Material Physics
Representative Publications
1. J. Li, C. Cheng, T. Paiva, H.-Q. Lin, and R. Mondaini, Giant Magnetoresistance in Hubbard Chains, Phys. Rev. Lett. 121, 020403 (2018).
2. S. Tarat, J. Li, R. T. Scalettar, and R. Mondaini, Magnetoresistance effects in a spin-fermion model for multilayers, Phys. Rev. B 102, 094423 (2020).
3. J. Li and H.-Q. Lin, Gauss quadrature based finite temperature Lanczos method, Chinese Phys. B 31, 050203 (2022).
4. C. Wang, T.-C. Yi, J. Li, and R. Mondaini, Non-Hermitian Haldane-Hubbard model: Effective description of one- and two-body dissipation, Phys. Rev. B 108, 085134 (2023).
