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Healable polymeric materials: a tutorial review
Open accessAbstract
Given the extensive use of polymers in the modern age with applications ranging from aerospace components to microcircuitry, the ability to regain the mechanical and physical characteristics of complex pristine materials after damage is an attractive proposition. This tutorial review focusses upon the key chemical concepts that have been successfully utilised in the design of healable polymeric materials.
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Cited by
A review of stimuli-responsive shape memory polymer composites
Meng, H., & Li, G. (2013) · Polymer · doi:10.1016/j.polymer.2013.02.023 · Cited by 1,190
Self-healing gels based on constitutional dynamic chemistry and their potential applications
Wei, Z., Yang, J. H., Zhou, J., Xu, F., Zrínyi, M., Dussault, P. H., Osada, Y., & Chen, Y. M. (2014) · Chem. Soc. Rev. · doi:10.1039/c4cs00219a · Cited by 896
Xia, D., Wang, P., Ji, X., Khashab, N. M., Sessler, J. L., & Huang, F. (2020) · Chemical Reviews · doi:10.1021/acs.chemrev.9b00839 · Cited by 734
Characterization of supramolecular gels
Yu, G., Yan, X., Han, C., & Huang, F. (2013) · Chemical Society Reviews · doi:10.1039/c3cs60080g · Cited by 626
Graphene-based wearable piezoresistive physical sensors
Zheng, Q., Lee, J.-H., Shen, X., Chen, X., & Kim, J.-K. (2020) · Materials Today · doi:10.1016/j.mattod.2019.12.004 · Cited by 486
Metadata
- Authors
- Burattini, S., Greenland, B. W., Chappell, D., Colquhoun, H. M., & Hayes, W.
- Venue
- Chemical Society Reviews
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2010
- Volume
- 39
- Issue
- 6
- Pages
- 1973
- ISSN
- 0306-0012 (ISSN-L)
- 1460-4744
- OpenAlex
- W2167394996
- Cited by
- 416
- References
- 0
- FWCI
- 0.68
- Type
- journal article
- Language
- en
- Open access
- green
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- Burattini, S., Greenland, B. W., Chappell, D., Colquhoun, H. M., & Hayes, W. (2010). Healable polymeric materials: a tutorial review. Chemical Society Reviews. https://doi.org/10.1039/b904502n
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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.
