Abstract

To address the problem of multiple solutions and improve the calculating speed, we construct a tandem architecture consisting of a forward modeling network and an inverse design network. Using this combined network, we inversely design the circular polarization converter and analyze the effect of different design parameters on the prediction accuracy of the polarization conversion rate. The average mean square error of the circular polarization converter is 0.00121 at an average prediction time of ${1.56} \times {{10}^{- 2}}\;{\rm s}$. If only the forward modeling process is considered, it takes ${6.15} \times {{10}^{- 4}}\;{\rm s}$, which is ${2.1} \times {{10}^5}$ times faster than that using the traditional numerical full-wave simulation method. By slightly resizing the network input and output layers, the network is adaptable to the design of both the linear cross-polarization and linear-to-circular polarization converters.

© 2023 Optica Publishing Group

Rapid deep-learning-assisted design method for 2-bit coding metasurfaces

Jiahui Fu, Yuping Zhang, Zhongxin Dou, Zhihu Yang, Meng Liu, and Huiyun Zhang
Appl. Opt. 62(13) 3502-3511 (2023)

Constrained tandem neural network assisted inverse design of metasurfaces for microwave absorption

Xiangxu He, Xiaohan Cui, and C. T. Chan
Opt. Express 31(24) 40969-40979 (2023)

Inverse design of an on-chip optical response predictor enabled by a deep neural network

Junhyeong Kim, Berkay Neseli, Jae-yong Kim, Jinhyeong Yoon, Hyeonho Yoon, Hyo-hoon Park, and Hamza Kurt
Opt. Express 31(2) 2049-2060 (2023)

Inverse design of a nano-photonic wavelength demultiplexer with a deep neural network approach

Mengwei Yuan, Gang Yang, Shijie Song, Luping Zhou, Robert Minasian, and Xiaoke Yi
Opt. Express 30(15) 26201-26211 (2022)

Phase-to-pattern inverse design for a fast realization of a functional metasurface by combining a deep neural network and a genetic algorithm

Genhao Wu, Liming Si, Haoyang Xu, Rong Niu, Yaqiang Zhuang, Houjun Sun, and Jun Ding
Opt. Express 30(25) 45612-45623 (2022)