Multiobjective optimization for highly efficient and robust metasurface designs

Mahmoud M R Elsawy (1) , Mickaël Binois (1) , Régis Duvigneau (1) , Samira Khadir (2) , Anthony Gourdin (2) , Stéphane Lanteri (1) , Patrice Genevet (2)

1 CRISAM - Inria Sophia Antipolis - Méditerranée
2 CRHEA - Centre de recherche sur l'hétéroepitaxie et ses applications

We present an innovative computational methodology based on statistical learning multiobjective optimization to optimize highly efficient and robust metasurface designs. We optimize a large-scale 3D metalenses in the visible regime. Besides, we extended our multiobjective optimization to consider the fabrication imperfections for a robust beam steering design.

Mots clés: Metasurface; Multiobjective optimization; Robust design; Nanophotonics

Domaines: Optique / photonique; Optique [physics.optics]; Modélisation et simulation; Optimisation et contrôle [math.OC]

Mahmoud M R Elsawy, Mickaël Binois, Régis Duvigneau, Samira Khadir, Anthony Gourdin, et al.. Multiobjective optimization for highly efficient and robust metasurface designs. OPTIQUE Nice 2022, Jul 2022, Nice, France. ⟨hal-03864836⟩