phase difference prediction across 3d metasurfaces

overview

Used Ansys Lumerical FDTD to collect phase difference data across 2D and 3D metasurfaces consisting of a metaatom of variable length, width, and wavelength. Built and trained a neural network model in PyTorch to predict the phase difference across the metasurface with metaatom parameters as inputs.