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)