Hard-constraining Neumann boundary conditions in physics-informed neural networks via Fourier feature embeddings

Christopher Straub, Philipp Brendel, Vlad Medvedev +1

We present a novel approach to hard-constrain Neumann boundary conditions in physics-informed neural networks (PINNs) using Fourier feature embeddings. Neumann boundary conditions…