CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
Evolutionary and genetic algorithms for design of metadevices working on electric dipole resonance
Authors
Kseniia V. Baryshnikova
Boris N. Chichkov
+4 more
Andrey B. Evlyukhin
Roman Melnikov
Mihail Petrov
Vladimir Ulyantsev
Publication date
1 January 2020
Publisher
Bristol : IOP Publishing Ltd.
Doi
Cite
Abstract
All-dielectric nanophotonics is a rapidly growing field of modern science. Metasurfaces and other planar devices based on all-dielectric nanoparticles lead to manage the light propagation at the nanoscale. Impressive effects such as perfect absorption, invisibility, chirality effects, negative refraction, light focusing in the area with size smaller than wavelength, nano-lasing etc - can be achieved with all-dielectric technologies. While it is needed to use more and more complicated designs for solution of modern nanophotonics' currents tasks, non-classical methods of optimization become relevant. For example, to design reconfigurable metalenses with an additional degree of freedom such as polarizability or temperature dependence, evolutionary or genetic algorithms show their high applicability. In this work, we show a new approach to design metalenses with evolutionary and genetic algorithms. © 2020 IOP Publishing Ltd
Similar works
Full text
Open in the Core reader
Download PDF
Available Versions
Institutionelles Repositorium der Leibniz Universität Hannover
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:www.repo.uni-hannover.de:1...
Last time updated on 11/04/2021