On the Role of Consistency Between Physics and Data in Physics-Informed Neural Networks

Nicolás Becerra-Zuniga, Lucas Lacasa, Eusebio Valero +1

Physics-informed neural networks (PINNs) have gained significant attention as a surrogate modeling strategy for partial differential equations (PDEs), particularly in regimes where…