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Cited by 5,881

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

Large Area, Few-Layer Graphene Films on Arbitrary Substrates by Chemical Vapor Deposition

Reina, Alfonso, Jia, Xiaoting, Ho, John, Nezich, Daniel, Son, Hyungbin, Bulovic, Vladimir, Dresselhaus, Mildred S., Kong, Jing·2009·Nano Letters

Abstract

In this work we present a low cost and scalable technique, via ambient pressure chemical vapor deposition (CVD) on polycrystalline Ni films, to fabricate large area ( approximately cm2) films of single- to few-layer graphene and to transfer the films to nonspecific substrates. These films consist of regions of 1 to approximately 12 graphene layers. Single- or bilayer regions can be up to 20 mum in lateral size. The films are continuous over the entire area and can be patterned lithographically or by prepatterning the underlying Ni film. The transparency, conductivity, and ambipolar transfer characteristics of the films suggest their potential as another materials candidate for electronics and opto-electronic applications.

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Metadata

Authors
Reina, A., Jia, X., Ho, J., Nezich, D., Son, H., Bulovic, V., Dresselhaus, M. S., & Kong, J.
Venue
Nano Letters
Published
2009-01-14
Volume
9
Issue
1
Pages
30-35
ISSN
  • 1530-6984 (ISSN-L)
  • 1530-6992
OpenAlex
W2072836371
Cited by
5,881
References
5
FWCI
138.77
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Large Area, Few-Layer Graphene Films on Arbitrary Substrates by Chemical Vapor Deposition. https://app.cochat.ai/papers/10.1021/nl801827v
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Reina, A., Jia, X., Ho, J., Nezich, D., Son, H., Bulovic, V., Dresselhaus, M. S., & Kong, J. (2009). Large Area, Few-Layer Graphene Films on Arbitrary Substrates by Chemical Vapor Deposition. Nano Letters. https://doi.org/10.1021/nl801827v

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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.