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Cited by 432

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

Novel properties of graphene nanoribbons: a review

Dutta, Sudipta, Pati, Swapan K.·2010·Journal of Materials Chemistry

Abstract

Low-dimensional materials are of great interest to both theorists and experimentalists, owing to their novel electronic properties which arise mainly because of a host of quantum confinement effects. Recent experimental findings of graphene have provided a new platform to explore the interesting electronic properties in strictly two dimensions. In this feature article, we review the novel properties of an interesting class of quasi one dimensional materials, known as graphene nanoribbons, which can be obtained by finite termination of graphene sheet with smooth edges. Recent experimental sophistications provide various physical and chemical ways to materialize these systems. Two different edge geometries, namely zigzag and armchair, arising from the finite termination of graphene, control the electronic properties of graphene nanoribbons. Here we attempt to give an overview of their interesting electronic, magnetic, optical, conduction properties and explore possible ways of enhancing their device applicability by a number of ways including external perturbations, doping and chemical modifications.

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Metadata

Authors
Dutta, S., & Pati, S. K.
Venue
Journal of Materials Chemistry
Published
2010
Volume
20
Issue
38
Pages
8207
ISSN
  • 0959-9428 (ISSN-L)
  • 1364-5501
OpenAlex
W11124750
Cited by
432
References
15
FWCI
13.13
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Novel properties of graphene nanoribbons: a review. https://app.cochat.ai/papers/10.1039/c0jm00261e
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Dutta, S., & Pati, S. K. (2010). Novel properties of graphene nanoribbons: a review. Journal of Materials Chemistry. https://doi.org/10.1039/c0jm00261e

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.