Researching | Deep learning in nano-photonics: inverse design and beyond

Photonics Research, Volume. 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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Peter R. Wiecha, Arnaud Arbouet, Christian Girard, Otto L. Muskens, "Deep learning in nano-photonics: inverse design and beyond," Photonics Res. 9, B182 (2021)

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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 manufacturing

Instrumentation, Measurement and Metrology