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Photonics Research, Volume. 9, Issue 5, B182(2021)

Deep learning in nano-photonics: inverse design and beyond

Peter R. Wiecha1、*, Arnaud Arbouet2,4, Christian Girard2,5, and Otto L. Muskens3,6
Author Affiliations
  • 1LAAS, Université de Toulouse, CNRS, Toulouse, France
  • 2CEMES, Université de Toulouse, CNRS, Toulouse, France
  • 3Physics and Astronomy, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton, UK
  • 4e-mail: arbouet@cemes.fr
  • 5e-mail: girard@cemes.fr
  • 6e-mail: o.muskens@soton.ac.uk
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    The article is cited by 206 article(s) from Web of Science.
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    Peter R. Wiecha, Arnaud Arbouet, Christian Girard, Otto L. Muskens. Deep learning in nano-photonics: inverse design and beyond[J]. Photonics Research, 2021, 9(5): B182

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    Paper Information

    Special Issue: DEEP LEARNING IN PHOTONICS

    Received: Dec. 2, 2020

    Accepted: Jan. 27, 2021

    Published Online: Apr. 19, 2021

    The Author Email: Peter R. Wiecha (pwiecha@laas.fr)

    DOI:10.1364/PRJ.415960

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology