The DOI matches its Crossref record; 121 of the 121 references it cites were found in a registry or an index.
Recent Advances in Research on Carbon Nanotube–Polymer Composites
Abstract
Carbon nanotubes (CNTs) demonstrate remarkable electrical, thermal, and mechanical properties, which allow a number of exciting potential applications. In this article, we review the most recent progress in research on the development of CNT–polymer composites, with particular attention to their mechanical and electrical (conductive) properties. Various functionalization and fabrication approaches and their role in the preparation of CNT–polymer composites with improved mechanical and electrical properties are discussed. We tabulate the most recent values of Young's modulus and electrical conductivities for various CNT–polymer composites and compare the effectiveness of different processing techniques. Finally, we give a future outlook for the development of CNT–polymer composites as potential alternative materials for various applications, including flexible electrodes in displays, electronic paper, antistatic coatings, bullet‐proof vests, protective clothing, and high‐performance composites for aircraft and automotive industries.
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Cites
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Cited by
Polymer Nanocomposites—A Comparison between Carbon Nanotubes, Graphene, and Clay as Nanofillers
Bhattacharya, M. (2016) · Materials · doi:10.3390/ma9040262 · Cited by 747
Controlling surface charge generated by contact electrification: Strategies and applications
Chen, L., Shi, Q., Sun, Y., Nguyen, T., Lee, C., & Soh, S. (2018) · Advanced Materials · doi:10.1002/adma.201802405 · Cited by 156
Metadata
- Authors
- Byrne, M. T., & Gun'ko, Y. K.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2010-04-15
- Volume
- 22
- Issue
- 15
- Pages
- 1672-1688
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2154296065
- Cited by
- 873
- References
- 121
- FWCI
- 23.29
- 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.