Mini-symposium organization:

• Numerical Methods, Mathematical Modeling and Analysis in Materials Science, mini-symposium in WCCM 2024, organizer, Vancouver Convention Centre, Vancouver, July 21-26, 2024.

• Analysis, Methods and Applications in Complex Materials, mini-symposium in ICIAM 2023, co-organizer, Waseda University, August 25th 2023.

Past invited talks: 

• Workshop on Mathematical Theory, Methods, and Applications in Materials Simulations (Tianyuan Mathematical Center in Science and Technology, TMCST), Kunming, May 18-24, 2025.

• Computational Multiscale Methods, Oberwolfach, April 27-May 2, 2025.

• 22nd Annual Conference of China Society for Industrial and Applied Mathematics (CSIAM 2024), Nanjing, October 25-27, 2024.

• International Workshop on Data-driven Computational and Theoretical Materials Design (DCTMD), Shanghai, October 9-13, 2024.

• Advancing Molecular Simulations with Machine-Learned Interatomic Potentials, Sichuan Normal University, July 3rd 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, July 15-19, 2024. 

• Advancing Molecular Simulations with Machine-Learned Interatomic Potentials, Beijing Normal University, June 13th 2024.

• Using Uncertainty Quantification to Improve Learning in Atomistic Modeling, SIAM Conference on Mathematical Aspects of Materials Science, Pittsburgh, Pennsylvania, May 19-23, 2024.

• Machine Learning Force Fields, Data-Driven Materials Informatics, Institute for Mathematical and Statistical Innovation, University of Chicago, April 4-8, 2024.

• Application of machine-learned interatomic potentials in atomic-scale simulations and beyond, Data Science Seminars, University of Minnesota, April 2, 2024.

• Enhacing Machine-Learned Interatomic Potentials in Materials Science: Progressing from Accuracy to Robustness, Hot Topics in AI for Sciences, Shanghai Jiao Tong University, February  29th 2024.

• Application of machine-learned interatomic potentials in atomic-scale simulations and beyond, Model Reduction and Simulation at Atomic Scale, University of Warwick, January 26th 2024.

• Mathematical Modeling, Analysis and Applications of Machine-Learned Interatomic Potentials, Shanghai Jiao Tong University, online, June 12th 2023.

• Atomic Cluster Expansion with and without Atoms, Beijing Normal University, online, March 10th 2023.

• A Framework for a Generalisation Analysis of Machine-Learned Interatomic Potentials, Atomic Cluster Expansion (ACE) Seminar, University of Cambridge, online, October 19th 2022.

• A Framework for a Generalisation Analysis of Machine-Learned Interatomic Potentials (online), Computational Methods in Applied Mathematics (CMAM 2022), TU Wien, August 31st 2022.

• Error Propagation of Machine-Learned Interatomic Potentials (MLIPs), Machine-learned Interatomic Potentials Mini-workshop, IPAM UCLA, May 12th 2022.

• A Posteriori Error Estimates for Adaptive QM/MM Coupling Methods, Workshop on Computational Materials Science, Sichuan University, online, November 15th 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, April 11th 2021.

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

• Some Recent Progress on Multiscale Coupling Methods, Top-notch Doctoral Seminar in Computational and Applied Mathematics, Peking University, 4th September 2019.