A stretchable, mechanically robust polymer exhibiting shape-memory-assisted self-healing and clustering-triggered emission

Xiaoyue Wang, Jing Xu, Yaoming Zhang, Tingmei Wang, Qihua Wang, Song Li (), Zenghui Yang () and Xinrui Zhang ()
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Xiaoyue Wang: Chinese Academy of Sciences
Jing Xu: Chinese Academy of Sciences
Yaoming Zhang: Chinese Academy of Sciences
Tingmei Wang: Chinese Academy of Sciences
Qihua Wang: Chinese Academy of Sciences
Song Li: Chinese Academy of Sciences
Zenghui Yang: Chinese Academy of Sciences
Xinrui Zhang: Chinese Academy of Sciences

Nature Communications, 2023, vol. 14, issue 1, 1-10

Abstract: Abstract Self-healing and recyclable polymer materials are being developed through extensive investigations on noncovalent bond interactions. However, they typically exhibit inferior mechanical properties. Therefore, the present study is aimed at synthesizing a polyurethane–urea elastomer with excellent mechanical properties and shape-memory-assisted self-healing behavior. In particular, the introduction of coordination and hydrogen bonds into elastomer leads to the optimal elastomer exhibiting good mechanical properties (strength, 76.37 MPa; elongation at break, 839.10%; toughness, 308.63 MJ m−3) owing to the phased energy dissipation mechanism involving various supramolecular interactions. The elastomer also demonstrates shape-memory properties, whereby the shape recovery force that brings damaged surfaces closer and facilitates self-healing. Surprisingly, all specimens exhibite clustering-triggered emission, with cyan fluorescence is observed under ultraviolet light. The strategy reported herein for developing multifunctional materials with good mechanical properties can be leveraged to yield stimulus-responsive polymers and smart seals.

Date: 2023
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DOI: 10.1038/s41467-023-40340-8

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