Lin-Chao Wang

Physics-Informed Machine Learning in Subsurface Multiphysics Flow Modeling: Integrating Physical Constraints for Accelerated Simulation

The analysis shows that PINNs are well suited to physics-constrained simulation and parameter inversion from sparse data but are limited by training instability and loss imbalance, and NOs enable rapid repeated forward predictions but depend strongly on representative training data and may perform poorly under out-of-d...