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Multiwall Carbon Nanotubes: Synthesis and Application
Abstract
Chemical vapor deposition (CVD) is the most promising synthesis route for economically producing large quantities of carbon nanotubes. We have developed a low-cost CVD process for the continuous production of aligned multiwall carbon nanotubes (MWNTs). Here we report the effects of reactor temperature, reaction time, and carbon partial pressure on the yield, purity, and size of the MWNTs produced. A simple method for purifying and healing structural defects in the nanotubes is described. The dispersion of nanotubes in polymer matrices has been investigated as a means of deriving new and advanced engineering materials. These composite materials have been formed into fibers and thin films and their mechanical and electrical properties determined.
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Cited by
Chemistry and Properties of Nanocrystals of Different Shapes
Burda, C., Chen, X., Narayanan, R., & El-Sayed, M. A. (2005) · Chemical Reviews · doi:10.1021/cr030063a · Cited by 7,230
Georgakilas, V., Perman, J. A., Tucek, J., & Zboril, R. (2015) · Chemical Reviews · doi:10.1021/cr500304f · Cited by 2,147
Understanding and approaches for the durability issues of Pt-based catalysts for PEM fuel cell
Shao, Y., Yin, G., & Gao, Y. (2007) · Journal of Power Sources · doi:10.1016/j.jpowsour.2007.07.004 · Cited by 1,197
Recent Advances in Research on Carbon Nanotube–Polymer Composites
Byrne, M. T., & Gun'ko, Y. K. (2010) · Advanced Materials · doi:10.1002/adma.200901545 · Cited by 873
Shao, Y., Sui, J., Yin, G., & Gao, Y. (2008) · Applied Catalysis B: Environmental · doi:10.1016/j.apcatb.2007.09.047 · Cited by 763
Metadata
- Authors
- Andrews, R., Jacques, D., Qian, D., & Rantell, T.
- Venue
- Accounts of Chemical Research
- Publisher
- American Chemical Society (ACS)
- Published
- 2002-10-26
- Volume
- 35
- Issue
- 12
- Pages
- 1008-1017
- ISSN
- 0001-4842 (ISSN-L)
- 1520-4898
- OpenAlex
- W2121346966
- Cited by
- 712
- References
- 0
- FWCI
- 12.17
- Type
- journal article
- Language
- en
- Open access
- closed
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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.