Po-Jui Chiang

Resolution-Aware Small-Data Inverse Design of Nonlinear Plasmonic Metasurfaces Using Surface-SHG Proxy Targets

Machine-learning inverse design of nonlinear plasmonic metasurfaces is limited by the cost of full-wave simulation and by the scarcity of labeled nonlinear optical data. We demonstrate a personal-computer-scale workflow for periodic Au nanorod metasurfaces in which normalized linear finite-difference time-domain (FDTD)...