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Cited by 470

The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.

Direct Chemical Vapor Deposition of Graphene on Dielectric Surfaces

Open access
Ismach, Ariel, Druzgalski, Clara, Penwell, Samuel, Schwartzberg, Adam, Zheng, Maxwell, Javey, Ali, Bokor, Jeffrey, Zhang, Yuegang·2010·Nano Letters

Abstract

Direct deposition of graphene on various dielectric substrates is demonstrated using a single-step chemical vapor deposition process. Single-layer graphene is formed through surface catalytic decomposition of hydrocarbon precursors on thin copper films predeposited on dielectric substrates. The copper films dewet and evaporate during or immediately after graphene growth, resulting in graphene deposition directly on the bare dielectric substrates. Scanning Raman mapping and spectroscopy, scanning electron microscopy, and atomic force microscopy confirm the presence of continuous graphene layers on tens of micrometer square metal-free areas. The revealed growth mechanism opens new opportunities for deposition of higher quality graphene films on dielectric materials.

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Metadata

Authors
Ismach, A., Druzgalski, C., Penwell, S., Schwartzberg, A., Zheng, M., Javey, A., Bokor, J., & Zhang, Y.
Venue
Nano Letters
Published
2010-04-02
Volume
10
Issue
5
Pages
1542-1548
ISSN
  • 1530-6984 (ISSN-L)
  • 1530-6992
OpenAlex
W4236603681
Cited by
470
References
40
FWCI
21.00
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Direct Chemical Vapor Deposition of Graphene on Dielectric Surfaces. https://app.cochat.ai/papers/10.1021/nl9037714
The paper
Ismach, A., Druzgalski, C., Penwell, S., Schwartzberg, A., Zheng, M., Javey, A., Bokor, J., & Zhang, Y. (2010). Direct Chemical Vapor Deposition of Graphene on Dielectric Surfaces. Nano Letters. https://doi.org/10.1021/nl9037714

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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.