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Cited by 549

The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.

Electron scattering on microscopic corrugations in graphene

Open access
Katsnelson, M.I, Geim, A.K·2008·Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

Abstract

We discuss various scattering mechanisms for Dirac fermions in single-layer graphene. It is shown that scattering on a short-range potential (e.g. due to neutral impurities) is mostly irrelevant for electronic quality of graphene, which is likely to be controlled by charged impurities and ripples (microscopic corrugations of a graphene sheet). The latter are an inherent feature of graphene due to its two-dimensional nature and can also be an important factor in defining the electron mean-free path. We show that certain types of ripples create a long-range scattering potential, similar to Coulomb scatterers, and result in charge-carrier mobility practically independent of carrier concentration, in agreement with experimental observations.

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Crossref · 10.1098/rsta.2007.2157

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Metadata

Authors
Katsnelson, M. I., & Geim, A. K.
Venue
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Published
2007-11-19
Volume
366
Issue
1863
Pages
195-204
ISSN
  • 1364-503X (ISSN-L)
  • 1471-2962
OpenAlex
W2127819650
Cited by
549
References
47
FWCI
21.94
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Electron scattering on microscopic corrugations in graphene. https://app.cochat.ai/papers/10.1098/rsta.2007.2157
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Katsnelson, M. I., & Geim, A. K. (2008). Electron scattering on microscopic corrugations in graphene. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. https://doi.org/10.1098/rsta.2007.2157

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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.