Evolutionary multi-objective optimization of colour pixels based on dielectric nano-antennas - Université Toulouse - Jean Jaurès Accéder directement au contenu
Article Dans Une Revue Nature Nanotechnology Année : 2016

Evolutionary multi-objective optimization of colour pixels based on dielectric nano-antennas

Résumé

The rational design of photonic nanostructures consists of anticipating their optical response from systematic variations of simple models. This strategy, however, has limited success when multiple objectives are simultaneously targeted, because it requires demanding computational schemes. To this end, evolutionary algorithms can drive the morphology of a nano-object towards an optimum through several cycles of selection, mutation and cross-over, mimicking the process of natural selection. Here, we present a numerical technique that can allow the design of photonic nanostructures with optical properties optimized along several arbitrary objectives. In particular, we combine evolutionary multi-objective algorithms with frequency-domain electrodynamical simulations to optimize the design of colour pixels based on silicon nanostructures that resonate at two user-defined, polarization-dependent wavelengths. The scattering spectra of optimized pixels fabricated by electron-beam lithography show excellent agreement with the targeted objectives. The method is self-adaptive to arbitrary constraints and therefore particularly apt for the design of complex structures within predefined technological limits.
Fichier principal
Vignette du fichier
1609.06709.pdf (3.1 Mo) Télécharger le fichier
2016_EMO_supporting_info.pdf (1.53 Mo) Télécharger le fichier
Loading...

Dates et versions

hal-01850271 , version 1 (24-02-2020)

Identifiants

Citer

Peter Wiecha, Arnaud Arbouet, Christian Girard, Aurélie Lecestre, Guilhem Larrieu, et al.. Evolutionary multi-objective optimization of colour pixels based on dielectric nano-antennas. Nature Nanotechnology, 2016, 12 (2), pp.163 - 169. ⟨10.1038/NNANO.2016.224⟩. ⟨hal-01850271⟩
219 Consultations
67 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More