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Design of multilayer optical thin-films based on light scattering properties and using deep neural networks

Authors :
Marin Fouchier
Myriam Zerrad
Michel Lequime
Claude Amra
CONCEPT (CONCEPT)
Institut FRESNEL (FRESNEL)
Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS)
Centre National de la Recherche Scientifique (CNRS)-École Centrale de Marseille (ECM)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)-École Centrale de Marseille (ECM)-Aix Marseille Université (AMU)
Source :
Optics Express, Optics Express, 2021, 29 (20), pp.32627-32638. ⟨10.1364/OE.437789⟩, Optics Express, Optical Society of America-OSA Publishing, 2021, 29 (20), pp.32627. ⟨10.1364/OE.437789⟩
Publication Year :
2021
Publisher :
HAL CCSD, 2021.

Abstract

International audience; Despite limiting the performance of multilayer optical thin-films, light scattering properties are not as yet controllable by current design methods. These methods usually consider only specular properties: transmittance and reflectance. Among other techniques, design of thin-film components assisted by deep neural networks have seen growing interest over the last few years. This paper presents an implementation of a deep neural network model for light scattering design and proposes an optimization process for complex multilayer thin-film components to comply with expectations on both specular and scattering spectral responses.

Details

Language :
English
ISSN :
10944087
Database :
OpenAIRE
Journal :
Optics Express, Optics Express, 2021, 29 (20), pp.32627-32638. ⟨10.1364/OE.437789⟩, Optics Express, Optical Society of America-OSA Publishing, 2021, 29 (20), pp.32627. ⟨10.1364/OE.437789⟩
Accession number :
edsair.doi.dedup.....9949c71908cc58c74fcfdbbddbe0b648