Deep learning in nano-photonics: inverse design and beyond

Peter R. Wiecha; Arnaud Arbouet; Christian Girard; Otto L. Muskens

doi:10.1364/PRJ.415960

Journals >Photonics Research >Volume 9 >Issue 5 >Page B182 > Article

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

Deep learning in nano-photonics: inverse design and beyond

Peter R. Wiecha^1、*, Arnaud Arbouet^2、4, Christian Girard^2、5, and Otto L. Muskens^3、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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DOI: 10.1364/PRJ.415960 Cite this Article Set citation alerts

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 Copy Citation Text

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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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