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Plasmonic Surface Lattice Resonances: Theory and Computation.

Charles Cherqui1, Marc R Bourgeois1, Danqing Wang2

  • 1Department of Chemistry , Northwestern University , Evanston , Illinois 60208 , United States.

Accounts of Chemical Research
|August 30, 2019
PubMed
Summary

Surface lattice resonances (SLRs) in metallic nanoparticle arrays combine localized surface plasmons and photonic modes. This enables enhanced light-matter interactions with reduced losses, paving the way for applications like SLR-mediated lasing.

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Area of Science:

  • * Physics, Optics, Materials Science
  • * Nanophotonics and Plasmonics

Background:

  • * Localized surface plasmons (LSPs) in metallic nanoparticles (NPs) offer strong light localization and field enhancement (∼103).
  • * LSPs suffer from losses due to dephasing and Ohmic damping.
  • * Periodic arrays of NPs can support surface lattice resonances (SLRs), a hybrid light-matter state.

Purpose of the Study:

  • * To introduce the fundamental theory of plasmonic surface lattice resonances (SLRs).
  • * To discuss computational methods for studying SLRs and their applications.
  • * To highlight physical insights for designing SLR-based devices.

Main Methods:

  • * Theoretical framework for describing SLRs in metallic nanoparticle arrays.
  • * Analysis of coupled LSP and photonic cavity modes.
  • * Computational modeling of SLR properties and phenomena.

Main Results:

  • * SLRs combine the field enhancement of LSPs with the low-loss, narrow-linewidth characteristics of photonic modes.
  • * SLRs mitigate losses by coupling LSPs to diffractive states (Bragg scattering/Rayleigh anomalies).
  • * Designed SLRs can achieve long oscillation lifetimes (∼103 cycles) and strong local field enhancements.

Conclusions:

  • * Plasmonic lattices offer a dual advantage of enhanced local fields and narrow-linewidth excitations.
  • * SLRs are crucial for applications like SLR-mediated lasing.
  • * Advances in fabrication enable experimental realization of SLRs approaching theoretical predictions.