Yaxin Peng, Professor, Shanghai University

Chong Chen, Associate Professor

Frontier Advances in Physics-Informed Neural Networks in Solving Physical Fields

10:30-11:30 October 10(Friday), S817

Physics Informed Neural Networks (PINNs), as an important technology combining scientific machine learning and mathematical modeling, have made significant breakthroughs in solving partial differential equations, modeling multiple physical fields, and inverse problems in recent years. This report will systematically review the latest developments in PINNs and their derived methods for solving physical fields.