Fig. 3: Metasurface design utilizing AI to enhance optical performance.
a A CNN that predicts a meta-atom’s transmission and phase delay under realistic boundary conditions, accounting for dissimilar meta-atom neighbors51. b An FCN that predicts the EM field response of a meta-atom based on its geometry and closest neighbors53. c An autoencoder that optimizes the configuration of meta-atoms within a 5 × 5 array to achieve the desired transmitted field distribution, considering inter-meta-atom coupling effects54.
