Phase-to-pattern inverse design paradigm for fast realization of functional metasurfaces via transfer learning

Abstract

The design and optimization of a metasurface is a computationally- and time-consuming effort. Here, the authors propose a neural network-based algorithm for functional metasurface design, and demonstrate it for some functional metasurfaces.