Nanostructures thermal emission optimization using genetic algorithms and particle swarms - Archive ouverte HAL
Communication Dans Un Congrès Année : 2010

Nanostructures thermal emission optimization using genetic algorithms and particle swarms

E. Nefzaoui
Jérémie Drevillon
Karl Joulain

Résumé

Nanotechnologies and nanofabrication techniques provided unmeasureable possibilities to control intrinsic microscopic features of materials and structures in the last years. In particular, materials optical properties and light propagation control have been some of the most challenging problems due to their various application possiblities. The present investigation shows that temporally coherent thermal sources have been successfully designed and optimized with evolutionary optimization methods such as genetic algorithms and particle swarms. This lead to a bilayer structure of germanium and silicon carbide, which is, to our knowledge, the simplest existing structure with such properties.
Fichier principal
Vignette du fichier
ICEC_2010_69_CR.pdf (1.54 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01579426 , version 1 (31-08-2017)

Identifiants

Citer

E. Nefzaoui, Jérémie Drevillon, Karl Joulain. Nanostructures thermal emission optimization using genetic algorithms and particle swarms. International Conference on Evolutionary Computation 2010 (ICEC 2010), Oct 2010, Valence, Spain. pp.219-224, ⟨10.5220/0003083802190224⟩. ⟨hal-01579426⟩
86 Consultations
90 Téléchargements

Altmetric

Partager

More