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The DOI matches its Crossref record; 150 of the 150 references it cites were found in a registry or an index.

Raman characterization of defects and dopants in graphene

Beams, Ryan, Gustavo Cançado, Luiz, Novotny, Lukas·2015·Journal of Physics: Condensed Matter

Abstract

In this article we review Raman studies of defects and dopants in graphene as well as the importance of both for device applications. First a brief overview of Raman spectroscopy of graphene is presented. In the following section we discuss the Raman characterization of three defect types: point defects, edges, and grain boundaries. The next section reviews the dependence of the Raman spectrum on dopants and highlights several common doping techniques. In the final section, several device applications are discussed which exploit doping and defects in graphene. Generally defects degrade the figures of merit for devices, such as carrier mobility and conductivity, whereas doping provides a means to tune the carrier concentration in graphene thereby enabling the engineering of novel material systems. Accurately measuring both the defect density and doping is critical and Raman spectroscopy provides a powerful tool to accomplish this task.

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Crossref · 10.1088/0953-8984/27/8/083002

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Metadata

Authors
Beams, R., Gustavo Cançado, L., & Novotny, L.
Venue
Journal of Physics: Condensed Matter
Published
2015-01-30
Volume
27
Issue
8
Pages
083002
ISSN
  • 0953-8984 (ISSN-L)
  • 1361-648X
OpenAlex
W2020601543
Cited by
709
References
150
FWCI
30.38
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Raman characterization of defects and dopants in graphene. https://app.cochat.ai/papers/10.1088/0953-8984/27/8/083002
The paper
Beams, R., Gustavo Cançado, L., & Novotny, L. (2015). Raman characterization of defects and dopants in graphene. Journal of Physics: Condensed Matter. https://doi.org/10.1088/0953-8984/27/8/083002

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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.