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The Computational Studies of Plasmon Interaction.

Antonina Demchuk1, Ivan Bolesta2, Oleksii Kushnir2

  • 1Department of Radiophysics and Computer Technologies, Ivan Franko National University of Lviv, Generala Tarnavskoho Str. 107, Lviv, 79017, Ukraine. demchuk.antonina@gmail.com.

Nanoscale Research Letters
|April 16, 2017
PubMed
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Random nanostructured metallic films for environmental monitoring and optical sensing: experimental and computational studies.

Nanoscale research lettersยท2015
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Interactions between silver nanoparticles create collective modes affecting their optical spectra. This study analyzes how particle spacing and size influence these plasmonic interactions, crucial for nanoparticle applications.

Area of Science:

  • Plasmonics and Nanophotonics
  • Computational Materials Science

Background:

  • Metal nanoparticles exhibit unique optical properties due to surface plasmon resonance.
  • Understanding nanoparticle interactions is key to designing advanced optical materials.

Purpose of the Study:

  • Investigate the optical extinction spectra of interacting metal nanoparticles.
  • Analyze the influence of coupling, size disparity, and separation on nanoparticle dimers.
  • Explore the spectral characteristics of nanoparticles in fractal clusters.

Main Methods:

  • Utilized discrete dipole approximation (DDA) for computational modeling.
  • Studied silver nanoparticle dimers with varying parameters.
  • Analyzed optical spectra of fractal nanoparticle clusters.
Keywords:
DimerDiscrete dipole approximationExtinction cross sectionFractal clusterHybridization modelNanoparticleOptical spectraSurface plasmon resonance

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Main Results:

  • Observed distinct low-energy bonding and higher-energy antibonding collective modes in dimers.
  • Spectral positions of modes were found to depend on the interparticle distance to particle size ratio.
  • The number of spectral bands in fractal clusters increased with nanoparticle count.

Conclusions:

  • Nanoparticle interactions lead to collective plasmon modes.
  • The ratio of interparticle distance to particle size governs spectral mode positions, reducing size dependency.
  • Plasmon hybridization model effectively describes the optical spectra of nanoparticle clusters.