Deep learning assisted design of high reflectivity metamirrors

verfasst von: 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.
Externe Organisation(en): Technische Universität Braunschweig
Laboratory for Emerging Nanometrology Braunschweig (LENA)
Physikalisch-Technische Bundesanstalt (PTB)
Typ: Artikel
Journal: Optics express
Band: 30
Seiten: 986-994
Anzahl der Seiten: 9
ISSN: 1094-4087
Publikationsdatum: 03.01.2022
Publikationsstatus: Veröffentlicht
Peer-reviewed: Ja
ASJC Scopus Sachgebiete: Atom- und Molekularphysik sowie Optik
Elektronische Version(en): https://doi.org/10.1364/OE.446442 (Zugang: Offen)

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",
}