Physics-constrained convolutional neural networks for inverse problems in spatiotemporal partial differential equations

Daniel Kelshaw, Luca Magri

We propose a physics-constrained convolutional neural network (PC-CNN) to solve two types of inverse problems in partial differential equations (PDEs), which are nonlinear and vary…