The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
Highly Damping and Self‐Healable Ionic Elastomer from Dynamic Phase Separation of Sticky Fluorinated Polymers
Open accessAbstract
Shock‐induced low‐frequency vibration damage is extremely harmful to bionic soft robots and machines that may incur the malfunction of fragile electronic elements. However, current skin‐like self‐healable ionic elastomers as the artificial sensing and protecting layer still lack the ability to dampen vibrations, due to their almost opposite design for molecular frictions to material's elasticity. Inspired by the two‐phase structure of adipose tissue (the natural damping skin layer), here, a highly damping ionic elastomer with energy‐dissipating nanophases embedded in an elastic matrix is introduced, which is formed by polymerization‐induced dynamic phase separation of sticky fluorinated copolymers in the presence of lithium salts. Such a supramolecular design decouples the elastic and damping functions into two distinct phases, and thus reconciles a few intriguing properties including ionic conductivity, high stretchability, softness, strain‐stiffening, elastic recovery, room‐temperature self‐healability, recyclability, and most importantly, record‐high damping capacity at the human motion frequency range (loss factor tan δ > 1 at 0.1–50 Hz). This study opens the door for the artificial syntheses of high‐performance damping ionic skins with robust sensing and protective applications in soft electronics and robotics.
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Cites
Introduction to Physical Polymer Science
Sperling, L. H. (2005) · doi:10.1002/0471757128 · Cited by 2,917
Effects of extracellular matrix viscoelasticity on cellular behaviour
Chaudhuri, O., Cooper-White, J., Janmey, P. A., Mooney, D. J., & Shenoy, V. B. (2020) · Nature · doi:10.1038/s41586-020-2612-2 · Cited by 2,224
Wang, S., & Urban, M. W. (2020) · Nature Reviews Materials · doi:10.1038/s41578-020-0202-4 · Cited by 1,374
Tough and stretchable ionogels by in situ phase separation
Wang, M., Zhang, P., Shamsi, M., Thelen, J. L., Qian, W., Truong, V. K., Ma, J., Hu, J., & Dickey, M. D. (2022) · Nature Materials · doi:10.1038/s41563-022-01195-4 · Cited by 776
Xu, L., Huang, Z., Deng, Z., Du, Z., Sun, T. L., Guo, Z., & Yue, K. (2021) · Advanced Materials · doi:10.1002/adma.202105306 · Cited by 639
Solvent-free, supersoft and superelastic bottlebrush melts and networks
Daniel, W. F. M., Burdyńska, J., Vatankhah-Varnoosfaderani, M., Matyjaszewski, K., Paturej, J., Rubinstein, M., Dobrynin, A. V., & Sheiko, S. S. (2016) · Nature Materials · doi:10.1038/nmat4508 · Cited by 581
Skin-like mechanoresponsive self-healing ionic elastomer from supramolecular zwitterionic network
Zhang, W., Wu, B., Sun, S., & Wu, P. (2021) · Nature Communications · doi:10.1038/s41467-021-24382-4 · Cited by 535
Self-citationDynamics of Entangled Solutions of Associating Polymers
Rubinstein, M., & Semenov, A. N. (2001) · Macromolecules · doi:10.1021/ma0013049 · Cited by 532
Mechanically Robust, Elastic, and Healable Ionogels for Highly Sensitive Ultra‐Durable Ionic Skins
Li, T., Wang, Y., Li, S., Liu, X., & Sun, J. (2020) · Advanced Materials · doi:10.1002/adma.202002706 · Cited by 500
Lei, Z., & Wu, P. (2019) · Nature Communications · doi:10.1038/s41467-019-11364-w · Cited by 432
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Cited by
Reprogramming Multi‐Dimensional Material Properties of Cured Thermosets by Hot‐Pressing
Yang, Z., Liang, H., Lei, T., Yang, Y., Wang, X., Zhou, Y., Wu, M., He, E., Wang, Y., Zhang, S., et al. (2026) · Advanced Functional Materials · doi:10.1002/adfm.78148
Metadata
- Authors
- Xiang, H., Li, X., Wu, B., Sun, S., & Wu, P.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2023-01-20
- Volume
- 35
- Issue
- 10
- Pages
- e2209581-e2209581
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W4317584026
- Cited by
- 268
- References
- 45
- FWCI
- 19.95
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Xiang, H., Li, X., Wu, B., Sun, S., & Wu, P. (2023). Highly Damping and Self‐Healable Ionic Elastomer from Dynamic Phase Separation of Sticky Fluorinated Polymers. Advanced Materials. https://doi.org/10.1002/adma.202209581
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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