Meta-photonics: A bridge between physical association and digital models in photonics

Abstract

Recently, the burgeoning field of metaverse has facilitated the convergence of digital scenarios and the real world to achieve unprecedented interaction patterns. Inspired by this digital approach, we propose the concept of meta-photonics to gain insight into the photonics underlying increasingly complex phenomena, while traditional physics theory is not keeping pace with current observations. Here, we are armed with different deep learning models to build intrinsic dimensions among different physical elements and bring together amplitude, phase, polarization conversion ratio, extinction ratio, unwrapping phase, surface electric field, and connected domain, most of which have never been reported, based on the results of the forward and inverse models. This approach reveals an opportunity to catalyze the discovery of more enigmatic associations among different concepts and paves the way for tailoring more flexible optical responses in the vibrant world of meta-photonics.