Predicting the interplay between second- and third-order nonlinear interaction in periodically-poled nanophotonic waveguides using machine learning

We have developed a recurrent neural network that efficiently simulates the unidirectional pulse propagation equation. The model is validated via predicting complex nonlinear interactions in a periodically poled nanophotonic LiNbO 3 waveguide.