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Cited by 365

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Directly Synthesized Strong, Highly Conducting, Transparent Single-Walled Carbon Nanotube Films

Ma, Wenjun, Song, Li, Yang, Rong, Zhang, Taihua, Zhao, Yuanchun, Sun, Lianfeng, Ren, Yan, Liu, Dongfang, Liu, Lifeng, Shen, Jun, Zhang, Zhengxing, Xiang, Yanjuan, Zhou, Weiya, Xie, SiShen·2007·Nano Letters

Abstract

We report the direct synthesis of strong, highly conducting, and transparent single-walled carbon nanotube (SWNT) films. Systematically, tests reveal that the directly synthesized films have superior electrical and mechanical properties compared with the films made from a solution-based filtration process: the electrical conductivity is over 2000 S/cm and the strength can reach 360 MPa. These values are both enhanced by more than 1 order. We attribute these intriguing properties to the good and long interbundle connections. Moreover, by the help of an extrapolated Weibull theory, we verify the feasibility of reducing the interbundle slip by utilizing the long-range intertube friction and estimate the ultimate strength of macroscale SWNTs without binding agent.

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Metadata

Authors
Ma, W., Song, L., Yang, R., Zhang, T., Zhao, Y., Sun, L., Ren, Y., Liu, D., Liu, L., Shen, J., Zhang, Z., Xiang, Y., Zhou, W., & Xie, S.
Venue
Nano Letters
Published
2007-07-13
Volume
7
Issue
8
Pages
2307-2311
ISSN
  • 1530-6984 (ISSN-L)
  • 1530-6992
OpenAlex
W2000172199
Cited by
365
References
0
FWCI
9.87
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Directly Synthesized Strong, Highly Conducting, Transparent Single-Walled Carbon Nanotube Films. https://app.cochat.ai/papers/10.1021/nl070915c
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Ma, W., Song, L., Yang, R., Zhang, T., Zhao, Y., Sun, L., Ren, Y., Liu, D., Liu, L., Shen, J., Zhang, Z., Xiang, Y., Zhou, W., & Xie, S. (2007). Directly Synthesized Strong, Highly Conducting, Transparent Single-Walled Carbon Nanotube Films. Nano Letters. https://doi.org/10.1021/nl070915c

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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.