Inverse Design of Photonic Metasurfaces through Physics-informed Deep Learning using a Rigorous Point-dipole Scattering Model

We present a physics-informed deep-learning approach for inverse design of photonic metasurfaces with a multiple-scattering model employing Ewald summation of dipolar lattices. This inherently ensures physical consistency, leads to better resonance prediction, and enables rapid design generation once trained.