Experimental Demonstration of an Optical Neural PDE Solver via On-Chip PINN Training

Abstract

Partial differential equation (PDE) is an important math tool in science and engineering. This paper experimentally demonstrates an optical neural PDE solver by leveraging the back-propagation-free on-photonic-chip training of physics-informed neural networks.