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Cited by 498

The DOI matches its Crossref record; 210 of the 210 references it cites were found in a registry or an index.

Recent Development of Carbon Nanotube Transparent Conductive Films

Yu, LePing, Shearer, Cameron, Shapter, Joseph·2016·Chemical Reviews

Abstract

Transparent conducting films (TCFs) are a critical component in many personal electronic devices. Transparent and conductive doped metal oxides are widely used in industry due to their excellent optoelectronic properties as well as the mature understanding of their production and handling. However, they are not compatible with future flexible electronics developments where large-scale production will likely involve roll-to-roll manufacturing. Recent studies have shown that carbon nanotubes provide unique chemical, physical, and optoelectronic properties, making them an important alternative to doped metal oxides. This Review provides a comprehensive analysis of carbon nanotube transparent conductive films covering detailed fabrication methods including patterning of the films, chemical doping effects, and hybridization with other materials. There is a focus on optoelectronic properties of the films and potential in applications such as photovoltaics, touch panels, liquid crystal displays, and organic light-emitting diodes in conjunction with a critical analysis of both the merits and shortcomings of carbon nanotube transparent conductive films.

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Crossref · 10.1021/acs.chemrev.6b00179

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Metadata

Authors
Yu, L., Shearer, C., & Shapter, J.
Venue
Chemical Reviews
Published
2016-10-05
Volume
116
Issue
22
Pages
13413-13453
ISSN
  • 0009-2665 (ISSN-L)
  • 1520-6890
OpenAlex
W2527912991
Cited by
498
References
210
FWCI
2.63
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Recent Development of Carbon Nanotube Transparent Conductive Films. https://app.cochat.ai/papers/10.1021/acs.chemrev.6b00179
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Yu, L., Shearer, C., & Shapter, J. (2016). Recent Development of Carbon Nanotube Transparent Conductive Films. Chemical Reviews. https://doi.org/10.1021/acs.chemrev.6b00179

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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.