Deep learning assisted design of high reflectivity metamirrors

authored by: L. Shelling Neto, J. Dickmann, S. Kroker
Abstract: The advent of optical metasurfaces, i.e. carefully designed two-dimensional nanostructures, allows unique control of electromagnetic waves. To unlock the full potential of optical metasurfaces to match even complex optical functionalities, machine learning provides elegant solutions. However, these methods struggle to meet the tight requirements when it comes to metasurface devices for the optical performance, as it is the case, for instance, in applications for high-precision optical metrology. Here, we utilize a tandem neural network framework to render a focusing metamirror with high mean and maximum reflectivity of Rmean = 99.993% and Rmax = 99.9998 %, respectively, and a minimal phase mismatch of Δφ = 0.016% that is comparable to state-of-art dielectric mirrors.
External Organisation(s): Technische Universität Braunschweig
Laboratory for Emerging Nanometrology Braunschweig (LENA)
National Metrology Institute of Germany (PTB)
Type: Article
Journal: Optics express
Volume: 30
Pages: 986-994
No. of pages: 9
ISSN: 1094-4087
Publication date: 03.01.2022
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: Atomic and Molecular Physics, and Optics
Electronic version(s): https://doi.org/10.1364/OE.446442 (Access: Open)

BibTeX

@article{b994f995e0a64b9ebd017272b37d4ae5,
title = "Deep learning assisted design of high reflectivity metamirrors",
abstract = "The advent of optical metasurfaces, i.e. carefully designed two-dimensional nanostructures, allows unique control of electromagnetic waves. To unlock the full potential of optical metasurfaces to match even complex optical functionalities, machine learning provides elegant solutions. However, these methods struggle to meet the tight requirements when it comes to metasurface devices for the optical performance, as it is the case, for instance, in applications for high-precision optical metrology. Here, we utilize a tandem neural network framework to render a focusing metamirror with high mean and maximum reflectivity of Rmean = 99.993% and Rmax = 99.9998 %, respectively, and a minimal phase mismatch of Δφ = 0.016% that is comparable to state-of-art dielectric mirrors.",
author = "Neto, {L. Shelling} and J. Dickmann and S. Kroker",
note = "Funding information: Acknowledgments. The authors gratefully acknowledge the support by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany{\textquoteright}s Excellence Strategy – EXC-2123 QuantumFrontiers – 390837967. J.D. and S.K also acknowledge partial support by European Association of National Metrology Institutes. This project (20FUN08 NEXTLASERS) has received funding from the EMPIR programme co-financed by the Participating States and from the European Union{\textquoteright}s Horizon 2020 research and innovation programme.",
year = "2022",
month = jan,
day = "3",
doi = "10.1364/OE.446442",
language = "English",
volume = "30",
pages = "986--994",
journal = "Optics express",
issn = "1094-4087",
publisher = "OSA - The Optical Society",
number = "2",
}