2012
DOI: 10.1109/tap.2012.2207078
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Modeling of Spatially-Dispersive Wire Media: Transport Representation, Comparison With Natural Materials, and Additional Boundary Conditions

Abstract: Natural and artificial wire materials exhibiting spatial dispersion are considered using a transport (drift-diffusion) model. The connection between drift-diffusion and electron transport in natural materials is highlighted, and then applied to various forms of wire media, leading to the definition of effective conductivity and diffusion parameters that characterize the material. It is shown that the effective material parameters lead to a Debye length that provides a quantitative measure of the strength of sp… Show more

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Cited by 34 publications
(43 citation statements)
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“…The term σϵD=knormalD2 is the Debye wave number, and lnormalD=1knormalD is the Debye length (the screening radius). The diffusion coefficient for a wire medium is given in D=iωl0true[βnormalp2ϵnormalm11fnormalVω2c2true] …”
Section: Polarizability Models Of Wire Spherical Objectsmentioning
confidence: 99%
“…The term σϵD=knormalD2 is the Debye wave number, and lnormalD=1knormalD is the Debye length (the screening radius). The diffusion coefficient for a wire medium is given in D=iωl0true[βnormalp2ϵnormalm11fnormalVω2c2true] …”
Section: Polarizability Models Of Wire Spherical Objectsmentioning
confidence: 99%
“…In an earlier study, [29] we have used the regular wire medium model [20,32,33] as a structural model of the MWCNT aerogel medium. The main assumption of this approach is that the electrophysical parameters of an irregular medium (aerogel) will be equivalent to the parameters of a regular medium for some effective lattice constant of this regular medium.…”
Section: Introductionmentioning
confidence: 99%
“…1. As a result, a rigorous study of such metamaterials was then undertaken by Silveirinha et al [18][19][20][21][22][23][24][25][26] This team accurately derived analytical models, using additional boundary conditions and/or quasistatic approximations, to eliminate the additional degree of freedom due to spatial dispersion.…”
Section: Introductionmentioning
confidence: 99%