NeuralPDE: Automating Physics-Informed Neural Networks (PINNs) with Error Approximations

Kirill Zubov, Zoe McCarthy, Yingbo Ma +11

Physics-informed neural networks (PINNs) are an increasingly powerful way to solve partial differential equations, generate digital twins, and create neural surrogates of physical…