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

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.

Bibliographic Details
Main Authors: Ruichao Zhu, Tianshuo Qiu, Jiafu Wang, Sai Sui, Chenglong Hao, Tonghao Liu, Yongfeng Li, Mingde Feng, Anxue Zhang, Cheng-Wei Qiu, Shaobo Qu
Format: Article
Language:English
Published: Nature Publishing Group 2021-05-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-021-23087-y