Transfer Learning with Physics-Informed Neural Networks for Efficient Simulation of Branched Flows

1 code implementation • 1 Nov 2022 • Raphaël Pellegrin, Blake Bullwinkel, Marios Mattheakis, Pavlos Protopapas

Physics-Informed Neural Networks (PINNs) offer a promising approach to solving differential equations and, more generally, to applying deep learning to problems in the physical sciences.

Transfer Learning