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Mechanically robust, readily repairable polymers via tailored noncovalent cross-linking
Abstract
A healing squeeze: The very long molecules found in synthetic polymers, and their tendency to entangle and partially crystallize, impart many of the polymers' useful properties. However, these same characteristics also mean that chain dynamics are slow, which impedes potential self-healing. Yanagisawa et al. developed a family of ether-thiourea linear polymers that form hydrogen-bonded networks and still manage to stay amorphous. The polymers are stiff, showing the strength of the hydrogen bonding; however, because these bonds can easily reform, the polymer is also able to self-heal when compressed. Science , this issue p. 72
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Cites
Silica-Like Malleable Materials from Permanent Organic Networks
Montarnal, D., Capelot, M., Tournilhac, F., & Leibler, L. (2011) · Science · doi:10.1126/science.1212648 · Cited by 3,625
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Designing polymers for advanced battery chemistries
Lopez, J., Mackanic, D. G., Cui, Y., & Bao, Z. (2019) · Nature Reviews Materials · doi:10.1038/s41578-019-0103-6 · Cited by 894
Li, Z., Zhu, Y., Niu, W., Yang, X., Jiang, Z., Lu, Z., Liu, X., & Sun, J. (2021) · Advanced Materials · doi:10.1002/adma.202101498 · Cited by 668
Wang, X., Zhan, S., Lu, Z., Li, J., Yang, X., Qiao, Y., Men, Y., & Sun, J. (2020) · Advanced Materials · doi:10.1002/adma.202005759 · Cited by 575
Wang, D., Xu, J., Chen, J., Hu, P., Wang, Y., Jiang, W., & Fu, J. (2020) · Advanced Functional Materials · doi:10.1002/adfm.201907109 · Cited by 394
Zhu, X., Zhang, W., Lu, G., Zhao, H., & Wang, L. (2022) · ACS Nano · doi:10.1021/acsnano.2c06264 · Cited by 279
Metadata
- Authors
- Yanagisawa, Y., Nan, Y., Okuro, K., & Aida, T.
- Venue
- Science
- Published
- 2018-01-05
- Volume
- 359
- Issue
- 6371
- Pages
- 72-76
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2771450085
- Cited by
- 1,073
- References
- 1
- FWCI
- 42.14
- 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.
