Modelling light propagation in plasmonic nanostructures

Samrowski, Tatiana S.; Raguin, Ludmila; Hafner, Christian; Vahldieck, R.

doi:10.1117/12.855014

Cited by 2 publications

(1 citation statement)

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“…In the present work we concentrate on the latter regime. Early studies on the plasmonic properties of near-fieldcoupled metallic nanoparticles focused on 1D chains using a nonretarded model of point dipoles [12][13][14][15], followed by fully-retarded classical approaches applied to 1D [16][17][18][19][20][21][22][23][24][25] and 2D systems [26][27][28][29][30]. Three-dimensional metastructures were also investigated using more approximate approaches such as the Maxwell-Garnett effective medium theory [7] or Bruggeman effective medium theory [31].…”

Section: Introductionmentioning

confidence: 99%

Plasmon polaritons in cubic lattices of spherical metallic nanoparticles

et al. 2018

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We theoretically investigate plasmon polaritons in cubic lattices of spherical metallic nanoparticles. The nanoparticles, each supporting triply-degenerate localized surface plasmons, couple through the Coulomb dipole-dipole interaction, giving rise to collective plasmons that extend over the whole metamaterial. The latter hybridize with photons forming plasmon polaritons, which are the hybrid light-matter eigenmodes of the system. We derive general analytical expressions to evaluate both plasmon and plasmon-polariton dispersions, and the corresponding eigenstates. These are obtained within a Hamiltonian formalism, which takes into account retardation effects in the dipolar interaction between the nanoparticles and considers the dielectric properties of the nanoparticles as well as their surrounding. Within this model we predict polaritonic splittings in the nearinfrared to the visible range of the electromagnetic spectrum that depend on polarization, lattice symmetry and wavevector direction. Finally, we show that the predictions of our model are in excellent quantitative agreement with conventional finite-difference frequency-domain simulations, but with the advantages of analytical insight and significantly reduced computational cost. arXiv:1606.04897v3 [cond-mat.mes-hall]

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