Solving the Nonlinear Schrödinger Equation in Optical Fibers Using Physics-informed Neural Network

We constructed a physics-informed neural network (PINN) to solve the nonlinear Schrödinger equation for different input waveforms. Results show that PINN can accurately characterize pulse evolution in fibers with less complexity to SSFM methods.