Together with Danial, Kathryn, Alireza, and Hao, we will co-host a mini-sympoisum entiled Physics-Informed Learning and Data-Enabled Predictive Modeling and Discovery of Complex Systems, where 15 speakers will give excellent talks on scientific machine learning and data-driven predictive modeling. (10:00-18:00 (UTC), 07/26/2021). Please check out.
Our group will also give 3 talks at USNCCM:
- 14:00-14:20 (UTC) 07/27/2021: X.-Y. Liu* and J.-X. Wang, Physics-informed model-based deep reinforcement learning for dynamic control.
- 17:20-17:40 (UTC) 07/27/2021: P. Du*, X. Zhu, J.-X. Wang, Surrogate modeling for 3-D patient-specific hemodynamics using statistical shape modeling and deep learning
- 15:00-15:20 (UTC) 07/27/2021: J.-X. Wang*, H. Gao, L. Sun, Physics-informed discretization-based learning: a unified framework for solving PDE-constrained forward and inverse problems