Random matrix approach to plasmon resonances in the random impedance network model of disordered nanocomposites
Disordered Systems and Neural Networks
2018-11-06 v4 Mesoscale and Nanoscale Physics
Optics
Abstract
Random impedance networks are widely used as a model to describe plasmon resonances in disordered metal-dielectric and other two-component nanocomposites. In the present work, the spectral properties of resonances in random networks are studied within the framework of the random matrix theory. We have shown that the appropriate ensemble of random matrices for the considered problem is the Jacobi ensemble (the MANOVA ensemble). The obtained analytical expressions for the density of states in such resonant networks show a good agreement with the results of numerical simulations in a wide range of metal filling fractions . A correspondence with the effective medium approximation is observed.
Keywords
Cite
@article{arxiv.1801.09233,
title = {Random matrix approach to plasmon resonances in the random impedance network model of disordered nanocomposites},
author = {Nikita Olekhno and Yaroslav Beltukov},
journal= {arXiv preprint arXiv:1801.09233},
year = {2018}
}
Comments
6 pages, 3 figures; References added