Evolutionary and genetic algorithms for design of metadevices working on electric dipole resonance

Research output: Contribution to journalConference articleResearchpeer review

Authors

  • Roman Melnikov
  • Kseniia V. Baryshnikova
  • Mihail Petrov
  • Vladimir Ulyantsev
  • Andrey B. Evlyukhin
  • Boris N. Chichkov

Research Organisations

External Research Organisations

  • St. Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO)
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Details

Original languageEnglish
Article number012011
Number of pages4
JournalJournal of Physics: Conference Series
Volume1461
Publication statusPublished - 2020
Event4th International Conference on Metamaterials and Nanophotonics, METANANO 2019 - St. Petersburg, Russian Federation
Duration: 15 Jul 201919 Jul 2019

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.

ASJC Scopus subject areas

Cite this

Evolutionary and genetic algorithms for design of metadevices working on electric dipole resonance. / Melnikov, Roman; Baryshnikova, Kseniia V.; Petrov, Mihail et al.
In: Journal of Physics: Conference Series, Vol. 1461, 012011, 2020.

Research output: Contribution to journalConference articleResearchpeer review

Melnikov, R, Baryshnikova, KV, Petrov, M, Ulyantsev, V, Evlyukhin, AB & Chichkov, BN 2020, 'Evolutionary and genetic algorithms for design of metadevices working on electric dipole resonance', Journal of Physics: Conference Series, vol. 1461, 012011. https://doi.org/10.1088/1742-6596/1461/1/012011
Melnikov, R., Baryshnikova, K. V., Petrov, M., Ulyantsev, V., Evlyukhin, A. B., & Chichkov, B. N. (2020). Evolutionary and genetic algorithms for design of metadevices working on electric dipole resonance. Journal of Physics: Conference Series, 1461, Article 012011. https://doi.org/10.1088/1742-6596/1461/1/012011
Melnikov R, Baryshnikova KV, Petrov M, Ulyantsev V, Evlyukhin AB, Chichkov BN. Evolutionary and genetic algorithms for design of metadevices working on electric dipole resonance. Journal of Physics: Conference Series. 2020;1461:012011. doi: 10.1088/1742-6596/1461/1/012011
Melnikov, Roman ; Baryshnikova, Kseniia V. ; Petrov, Mihail et al. / Evolutionary and genetic algorithms for design of metadevices working on electric dipole resonance. In: Journal of Physics: Conference Series. 2020 ; Vol. 1461.
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AU - Baryshnikova, Kseniia V.

AU - Petrov, Mihail

AU - Ulyantsev, Vladimir

AU - Evlyukhin, Andrey B.

AU - Chichkov, Boris N.

N1 - Funding information: The work was supported by the Ministry of Science and Higher Education of the Russian Federation (project No. 16.12780.2018/12.2). The authors would like to thank Maxim Buzdalov for his feedback.

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AB - 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.

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