Talks & Conferences

Workshop on Mathematical Theory, Methods, and Applications in Materials Simulations (Tianyuan Mathematical Center in Science and Technology, TMCST). Kunming, 2025.

Computational Multiscale Methods. Oberwolfach, 2025.

22nd Annual Conference of China Society for Industrial and Applied Mathematics (CSIAM 2024). Nanjing, 2024.

International Workshop on Data-driven Computational and Theoretical Materials Design (DCTMD). Shanghai, 2024.

Machine Learning in Multiscale and Reduced Order Methods for the Simulation of Physical Systems (International Conference on Scientific Computation and Differential Equations, SciCADE 2024). National University of Singapore, 2024.

Advancing Molecular Simulations with Machine-Learned Interatomic Potentials. Sichuan Normal University, 2024.

Advancing Molecular Simulations with Machine-Learned Interatomic Potentials. Beijing Normal University, 2024.

Using Uncertainty Quantification to Improve Learning in Atomistic Modeling (SIAM Conference on Mathematical Aspects of Materials Science). Pittsburgh, Pennsylvania, 2024.

Machine Learning Force Fields, Data-Driven Materials Informatics (Institute for Mathematical and Statistical Innovation). University of Chicago, 2024.

Advancing Machine-Learned Interatomic Potentials: Enhancing Accuracy and Robustness in Materials Science Applications (Data Science Seminar). University of Minnesota, 2024.

Enhancing Machine-Learned Interatomic Potentials in Materials Science: Progressing from Accuracy to Robustness (Hot Topics in AI for Sciences). Shanghai Jiao Tong University, 2024.

Application of machine-learned interatomic potentials in atomic-scale simulations and beyond (Model Reduction and Simulation at Atomic Scale). University of Warwick, 2024.

Mathematical Modeling, Analysis and Applications of Machine-Learned Interatomic Potentials. Shanghai Jiao Tong University (online), 2023.

Atomic Cluster Expansion with and without Atoms. Beijing Normal University (online), 2023.

A Framework for a Generalisation Analysis of Machine-Learned Interatomic Potentials (Atomic Cluster Expansion (ACE) Seminar). University of Cambridge (online), 2022.

A Framework for a Generalisation Analysis of Machine-Learned Interatomic Potentials (online) (Computational Methods in Applied Mathematics, CMAM 2022). TU Wien, 2022.

Error Propagation of Machine-Learned Interatomic Potentials (MLIPs) (Machine-learned Interatomic Potentials Mini-workshop). IPAM UCLA, 2022.

A Posteriori Error Estimates for Adaptive QM/MM Coupling Methods (Workshop on Computational Materials Science). Sichuan University (online), 2021.

The Applications of Data-Driven Interatomic Potentials to QM/MM Coupling Methods (International Workshop on Mathematical Theory, Methods and Application in Materials Simulation). Shanghai Jiao Tong University, 2021.

Adaptive QM/MM Coupling Methods (Workshop on Materials Modeling, University of Warwick-Shanghai Jiao Tong University-University of British Columbia). online, 2020.

Some Recent Progress on Multiscale Coupling Methods (Top-notch Doctoral Seminar in Computational and Applied Mathematics). Peking University, 2019.

Numerical Methods, Mathematical Modeling and Analysis in Materials Science. mini-symposium in WCCM 2024. Vancouver Convention Centre, Vancouver, 2024. (Organizer)

Analysis, Methods and Applications in Complex Materials. mini-symposium in ICIAM 2023. Waseda University, 2023. (Co-organizer)