Deep Learning enabled Forward Modeling and Inverse Design of Integrated Nanophotonic Gratings

We demonstrate deep learning enabled forward modeling and inverse design of integrated silicon nanophotonic grating. Predicted response by the forward modeling and predicted response and geometries by inverse design algorithm are shown with a prediction mean-square-error of the order of 10 − 4.