Metal nanostars: Stochastic optimization of resonant scattering properties

In this work we make use of a bio-inspired stochastic technique to find the optimal geometry that maximizes, for a fixed wavelength, the scattering cross section of a bidimensional metal nanostar. To solve the scattering problem, we employ a rigorous numerical method based on Green’s theorem using s...

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Bibliographic Details
Published in:Superlattices and microstructures 2011-03, Vol.49 (3), p.288-293
Main Authors: Tassadit, A., Macías, D., Sánchez-Gil, J.A., Adam, P.-M., Rodriguez-Oliveros, R.
Format: Article
Language:English
Subjects:
Engineering Sciences
Illumination
Light scattering
Metal nanoparticles
Micro and nanotechnologies
Microelectronics
Nanocomposites
Nanomaterials
Nanostructure
Optics
Optimization
Photonic
Scattering
Stochastic optimization
Stochasticity
Wavelengths
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Summary:In this work we make use of a bio-inspired stochastic technique to find the optimal geometry that maximizes, for a fixed wavelength, the scattering cross section of a bidimensional metal nanostar. To solve the scattering problem, we employ a rigorous numerical method based on Green’s theorem using surface integral equations. It is shown that the optimization procedure converges to a nanostar geometry that exhibits a resonance at or near the given wavelength. The influence of the illumination conditions, the effect of geometries found on the near-field features, and the possibilities and limitations of our approach are discussed through some numerical experiments.
ISSN:0749-6036
1096-3677
DOI:10.1016/j.spmi.2010.07.003