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The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Dyadic Green’s functions and guided surface waves for a surface conductivity model of graphene

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Hanson, George W.·2008·Journal of Applied Physics

Abstract

An exact solution is obtained for the electromagnetic field due to an electric current in the presence of a surface conductivity model of graphene. The graphene is represented by an infinitesimally thin, local, and isotropic two-sided conductivity surface. The field is obtained in terms of dyadic Green’s functions represented as Sommerfeld integrals. The solution of plane wave reflection and transmission is presented, and surface wave propagation along graphene is studied via the poles of the Sommerfeld integrals. For isolated graphene characterized by complex surface conductivity σ=σ′+jσ″, a proper transverse-electric surface wave exists if and only if σ″>0 (associated with interband conductivity), and a proper transverse-magnetic surface wave exists for σ″<0 (associated with intraband conductivity). By tuning the chemical potential at infrared frequencies, the sign of σ″ can be varied, allowing for some control over surface wave properties.

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Metadata

Authors
Hanson, G. W.
Venue
Journal of Applied Physics
Published
2008-03-15
Volume
103
Issue
6
ISSN
  • 0021-8979 (ISSN-L)
  • 1089-7550
OpenAlex
W1976133755
Cited by
2,964
References
5
FWCI
6.82
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Dyadic Green’s functions and guided surface waves for a surface conductivity model of graphene. https://app.cochat.ai/papers/10.1063/1.2891452
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Hanson, G. W. (2008). Dyadic Green’s functions and guided surface waves for a surface conductivity model of graphene. Journal of Applied Physics. https://doi.org/10.1063/1.2891452

Data sources

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.