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Water‐Based Single‐Walled‐Nanotube‐Filled Polymer Composite with an Exceptionally Low Percolation Threshold
Abstract
An emulsion polymer (i.e., latex) has been used as the polymer matrix starting material in order to lower the percolation threshold of single‐walled‐carbon‐nanotube (SWNT)‐filled polymer composites (e.g., see Figure). A percolation threshold below 0.04 wt.‐% SWNT is achieved. This composite system offers the potential for conductive polymers that are relatively inexpensive, mechanically robust, environmentally stable, and easy to process.
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Kirkpatrick, S. (1973) · Reviews of Modern Physics · doi:10.1103/revmodphys.45.574 · Cited by 5,260
Cited by
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The biocompatibility of carbon nanotubes
Smart, S. K., Cassady, A. I., Lu, G. Q., & Martin, D. J. (2006) · Carbon · doi:10.1016/j.carbon.2005.10.011 · Cited by 1,011
Multifunctional Shape‐Memory Polymers
Behl, M., Razzaq, M. Y., & Lendlein, A. (2010) · Advanced Materials · doi:10.1002/adma.200904447 · Cited by 971
Sensors and actuators based on carbon nanotubes and their composites: A review
Li, C., Thostenson, E. T., & Chou, T.-W. (2008) · Composites Science and Technology · doi:10.1016/j.compscitech.2008.01.006 · Cited by 934
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
Metadata
- Authors
- Grunlan, J. C., Mehrabi, A. R., Bannon, M. V., & Bahr, J. L.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2004-01-16
- Volume
- 16
- Issue
- 2
- Pages
- 150-153
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2071943443
- Cited by
- 402
- References
- 1
- FWCI
- 11.25
- Type
- journal article
- Language
- en
- Open access
- closed
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- Grunlan, J. C., Mehrabi, A. R., Bannon, M. V., & Bahr, J. L. (2004). Water‐Based Single‐Walled‐Nanotube‐Filled Polymer Composite with an Exceptionally Low Percolation Threshold. Advanced Materials. https://doi.org/10.1002/adma.200305409
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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.
