Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Inverse design of ultracompact multi-focal optical devices by diffractive neural networks

Abstract

We propose an efficient inverse design approach for multifunctional optical elements based on adaptive deep diffractive neural networks (a-D2NNs). Specifically, we introduce a-D2NNs and design two-layer diffractive devices that can selectively focus incident radiation over two well-separated spectral bands at desired distances. We investigate focusing efficiencies at two wavelengths and achieve targeted spectral line shapes and spatial point-spread functions (PSFs) with optimal focusing efficiency. In particular, we demonstrate control of the spectral bandwidths at separate focal positions beyond the theoretical limit of single-lens devices with the same aperture size. Finally, we demonstrate devices that produce super-oscillatory focal spots at desired wavelengths. The proposed method is compatible with current diffractive optics and doublet metasurface technology for ultracompact multispectral imaging and lensless microscopy applications.

© 2022 Optica Publishing Group

Full Article  |  PDF Article
More Like This
Design of ultracompact broadband focusing spectrometers based on diffractive optical networks

Yilin Zhu, Yuyao Chen, and Luca Dal Negro
Opt. Lett. 47(24) 6309-6312 (2022)

Orthogonality of diffractive deep neural network

Shuiqin Zheng, Shixiang Xu, and Dianyuan Fan
Opt. Lett. 47(7) 1798-1801 (2022)

Physics-model-based neural networks for inverse design of binary phase planar diffractive lenses

Jianmin He, Zhenghao Guo, Yongying Zhang, Yiyang Lu, Feng Wen, Haixia Da, Guofu Zhou, Dong Yuan, and Huapeng Ye
Opt. Lett. 48(6) 1474-1477 (2023)

Supplementary Material (1)

NameDescription
Supplement 1       supplemental document for the paper

Data availability

Data underlying the results presented in this paper are not publicly available at this time but may be obtained from the authors upon reasonable request.

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (4)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (11)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.