Guoquan Wu

Data and physics requirements for reliable physics‐informed neural networks in process modeling

This work develops a theoretical framework for analyzing the generalization error of PINNs under model misspecification, establishing both an architecture‐independent error bound and an explicit bound for a specific PINN architecture.