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Cited by 447

The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.

Nonlinear electromagnetic response of graphene: frequency multiplication and the self-consistent-field effects

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Mikhailov, S A, Ziegler, K·2008·Journal of Physics: Condensed Matter

Abstract

Graphene is a recently discovered carbon-based material with unique physical properties. This is a monolayer of graphite, and the two-dimensional electrons and holes in it are described by the effective Dirac equation with a vanishing effective mass. As a consequence, the electromagnetic response of graphene is predicted to be strongly nonlinear. We develop a quasi-classical kinetic theory of the nonlinear electromagnetic response of graphene, taking into account the self-consistent-field effects. The response of the system to both harmonic and pulse excitation is considered. The frequency multiplication effect, resulting from the nonlinearity of the electromagnetic response, is studied under realistic experimental conditions. The frequency upconversion efficiency is analyzed as a function of the applied electric field and parameters of the samples. Possible applications of graphene in terahertz electronics are discussed.

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Crossref · 10.1088/0953-8984/20/38/384204

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Metadata

Authors
Mikhailov, S. A., & Ziegler, K.
Venue
Journal of Physics: Condensed Matter
Published
2008-08-21
Volume
20
Issue
38
Pages
384204
ISSN
  • 0953-8984 (ISSN-L)
  • 1361-648X
OpenAlex
W2039784110
Cited by
447
References
60
FWCI
5.56
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Nonlinear electromagnetic response of graphene: frequency multiplication and the self-consistent-field effects. https://app.cochat.ai/papers/10.1088/0953-8984/20/38/384204
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Mikhailov, S. A., & Ziegler, K. (2008). Nonlinear electromagnetic response of graphene: frequency multiplication and the self-consistent-field effects. Journal of Physics: Condensed Matter. https://doi.org/10.1088/0953-8984/20/38/384204

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

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