Deep Learning-Driven Forward and Inverse Design of Nanophotonic Nanohole Arrays: Streamlining Design for Tailored Optical Functionalities and Enhancing Accessibility

This study develops and optimizes deep learning models for the forward and inverse design of nanophotonic nanohole arrays, demonstrating their effectiveness through both FDTD simulations and experimental validation.