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Metal nanostars: Stochastic optimization of resonant scattering properties

Abstract : 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.
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Submitted on : Tuesday, November 19, 2019 - 9:36:36 AM
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Abdelwahab Tassadit, Demetrio Macías, José Antonio Sánchez-Gil, Pierre-Michel Adam, Rogelio Rodríguez-Oliveros. Metal nanostars: Stochastic optimization of resonant scattering properties. Superlattices and Microstructures, Elsevier, 2011, 49 (3), pp.288-293. ⟨10.1016/j.spmi.2010.07.003⟩. ⟨hal-02369557⟩



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