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Cited by 780

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Carbon nanotube growth by PECVD: a review

Open access
Meyyappan, M, Delzeit, Lance, Cassell, Alan, Hash, David·2003·Plasma Sources Science and Technology

Abstract

Carbon nanotubes (CNTs), due to their unique electronic and extraordinary mechanical properties, have been receiving much attention for a wide variety of applications. Recently, plasma enhanced chemical vapour deposition (PECVD) has emerged as a key growth technique to produce vertically-aligned nanotubes. This paper reviews various plasma sources currently used in CNT growth, catalyst preparation and growth results. Since the technology is in its early stages, there is a general lack of understanding of growth mechanisms, the role of the plasma itself, and the identity of key species responsible for growth. This review is aimed at the low temperature plasma research community that has successfully addressed such issues, through plasma and surface diagnostics and modelling, in semiconductor processing and diamond thin film growth.

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Crossref · 10.1088/0963-0252/12/2/312

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Metadata

Authors
Meyyappan, M., Delzeit, L., Cassell, A., & Hash, D.
Venue
Plasma Sources Science and Technology
Published
2003-04-02
Volume
12
Issue
2
Pages
205-216
ISSN
  • 0963-0252 (ISSN-L)
  • 1361-6595
OpenAlex
W2034150944
Cited by
780
References
1
FWCI
21.62
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Carbon nanotube growth by PECVD: a review. https://app.cochat.ai/papers/10.1088/0963-0252/12/2/312
The paper
Meyyappan, M., Delzeit, L., Cassell, A., & Hash, D. (2003). Carbon nanotube growth by PECVD: a review. Plasma Sources Science and Technology. https://doi.org/10.1088/0963-0252/12/2/312

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.