Approaches to Simulating Meta-surfaces for Flat Optical Devices: The Transition to Solutions Based on Neural Networks

Following a summary of the constraints associated with simulations using pillar-wise-based methods to design meta-surfaces, we will present our latest progress in the domain of simulating large scale meta-surfaces, including convolutional neural network-driven emulations. We highlight the significance of accurately modeling the impact of the interaction between the pillars in a meta-surface, which enables the elimination of meta-surface designs with poor optical performances (e.g. zeroth orders in a beam shaper) during the design verification stages.