Communication Dans Un Congrès Année : 2024

Inverse design of bright, dielectric metasurfaces color filters based on back-propagation and multi-valued artificial neural networks

Résumé

The present work showcases an innovative optimization methodology based on deep learning that combines Multi-Valued Artificial Neural Networks and back-propagation optimization. The methodology addresses the inherent limitations of conventional approaches when employed in isolation. We applied the proposed methodology to design structural color filters that surpasses the sRGB gamut while preserving fabrication constraints.
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hal-04884765 , version 1 (13-01-2025)

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Arthur Clini de Souza, Stéphane Lanteri, Hugo Enrique Hernandez-Figueroa, Marco Abbarchi, David Grosso, et al.. Inverse design of bright, dielectric metasurfaces color filters based on back-propagation and multi-valued artificial neural networks. Machine Learning in Photonics, Apr 2024, Strasbourg, France. pp.24, ⟨10.1117/12.3016617⟩. ⟨hal-04884765⟩
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