Optimal design of nanoplasmonic materials using genetic algorithms as a multiparameter optimization tool

Joseph Yelk, Maxim Sukharev, Tamar Seideman

Research output: Contribution to journalArticle

14 Scopus citations

Abstract

An optimal control approach based on multiple parameter genetic algorithms is applied to the design of plasmonic nanoconstructs with predetermined optical properties and functionalities. We first develop nanoscale metallic lenses that focus an incident plane wave onto a prespecified, spatially confined spot. Our results illustrate the mechanism of energy flow through wires and cavities. Next we design a periodic array of silver particles to modify the polarization of an incident, linearly polarized plane wave in a desired fashion while localizing the light in space. The results provide insight into the structural features that determine the birefringence properties of metal nanoparticles and their arrays. Of the variety of potential applications that may be envisioned, we note the design of nanoscale light sources with controllable coherence and polarization properties that could serve for coherent control of molecular, electronic, or electromechanical dynamics in the nanoscale.

Original languageEnglish (US)
Article number064706
JournalJournal of Chemical Physics
Volume129
Issue number6
DOIs
StatePublished - Aug 25 2008
Externally publishedYes

ASJC Scopus subject areas

  • Physics and Astronomy(all)
  • Physical and Theoretical Chemistry

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