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

Andrea Bonfanti, Roberto Santana, Marco Ellero +1

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