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Ultrathin Films of Single‐Walled Carbon Nanotubes for Electronics and Sensors: A Review of Fundamental and Applied Aspects

Cao, Qing, Rogers, John A.·2009·Advanced Materials

Abstract

Ultrathin films of single‐walled carbon nanotubes (SWNTs) represent an attractive, emerging class of material, with properties that can approach the exceptional electrical, mechanical, and optical characteristics of individual SWNTs, in a format that, unlike isolated tubes, is readily suitable for scalable integration into devices. These features suggest the potential for realistic applications as conducting or semiconducting layers in diverse types of electronic, optoelectronic and sensor systems. This article reviews recent advances in assembly techniques for forming such films, modeling and experimental work that reveals their collective properties, and engineering aspects of implementation in sensors and in electronic devices and circuits with various levels of complexity. A concluding discussion provides some perspectives on possibilities for future work in fundamental and applied aspects.

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Crossref · 10.1002/adma.200801995

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Metadata

Authors
Cao, Q., & Rogers, J. A.
Venue
Advanced Materials
Publisher
Wiley
Published
2009-01-02
Volume
21
Issue
1
Pages
29-53
ISSN
  • 0935-9648 (ISSN-L)
  • 1521-4095
OpenAlex
W2172108708
Cited by
1,098
References
3
FWCI
38.23
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Ultrathin Films of Single‐Walled Carbon Nanotubes for Electronics and Sensors: A Review of Fundamental and Applied Aspects. https://app.cochat.ai/papers/10.1002/adma.200801995
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Cao, Q., & Rogers, J. A. (2009). Ultrathin Films of Single‐Walled Carbon Nanotubes for Electronics and Sensors: A Review of Fundamental and Applied Aspects. Advanced Materials. https://doi.org/10.1002/adma.200801995

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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.