On the Generalization of PINNs outside the training domain and the Hyperparameters influencing it

no code implementations • 15 Feb 2023 • Andrea Bonfanti, Roberto Santana, Marco Ellero, Babak Gholami

Physics-Informed Neural Networks (PINNs) are Neural Network architectures trained to emulate solutions of differential equations without the necessity of solution data.