Particle-swarm optimization of broadband nanoplasmonic arrays

We used the particle swarm optimization algorithm, an evolutionary computational technique, to design metal nanoparticle arrays that produce broadband plasmonic field enhancement over the entire visible spectral range. The resulting structures turn out to be aperiodic and feature dense Fourier spect...

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Bibliographic Details
Published in:Optics letters 2010-01, Vol.35 (2), p.133-135
Main Authors: FORESTIERE, Carlo, DONELLI, Massimo, WALSH, Gary F, ZENI, Edoardo, MIANO, Giovanni, DAL NEGRO, Luca
Format: Article
Language:English
Subjects:
Algorithms
Collective excitations (including excitons, polarons, plasmons and other charge-density excitations)
Condensed matter: electronic structure, electrical, magnetic, and optical properties
Electronic structure and electrical properties of surfaces, interfaces, thin films and low-dimensional structures
Exact sciences and technology
Fourier Analysis
Metal Nanoparticles - chemistry
Physics
Silver - chemistry
Spectrum Analysis - instrumentation
Surface and interface electron states
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Summary:We used the particle swarm optimization algorithm, an evolutionary computational technique, to design metal nanoparticle arrays that produce broadband plasmonic field enhancement over the entire visible spectral range. The resulting structures turn out to be aperiodic and feature dense Fourier spectra with many closely packed particle clusters. We conclude that broadband field-enhancement effects in nanoplasmonics can be achieved by engineering aperiodic arrays with a large number of spatial frequencies that provide the necessary interplay between long-range diffractive interactions at multiple length scales and near-field quasi-static coupling within small nanoparticle clusters.
ISSN:0146-9592
1539-4794
DOI:10.1364/OL.35.000133