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Cited by 179

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Mesoscale bicontinuous networks in self-healing hydrogels delay fatigue fracture

Open access
Li, Xueyu, Cui, Kunpeng, Sun, Tao Lin, Meng, Lingpu, Yu, Chengtao, Li, Liangbin, Creton, Costantino, Kurokawa, Takayuki, Gong, Jian Ping·2020·Proceedings of the National Academy of Sciences

Abstract

Significance: Muscles, composed of exquisite hierarchical structures, exhibit high fatigue resistance and can resist crack propagation even after injury. The mechanism of the hierarchical structures on suppressing crack advance under reciprocating movement is poorly understood. Tough and self-healing hydrogels are good candidates as simplified model systems for studying the mechanical behaviors of load-bearing biotissues. Here, we report that polyampholyte hydrogels, having a hierarchical structure, demonstrate high fatigue resistance through a synergistic effect between different scales. Such an antifatigue mechanism based on hierarchical structure not only gives important hints to understand fatigue-resistant behavior of biotissues with complex hierarchical structures, but also provides design strategy for tough and fatigue-resistant hydrogels, by forming multiscale network structures using noncovalent bonds as building blocks.

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Metadata

Authors
Li, X., Cui, K., Sun, T. L., Meng, L., Yu, C., Li, L., Creton, C., Kurokawa, T., & Gong, J. P.
Venue
Proceedings of the National Academy of Sciences
Published
2020-03-24
Volume
117
Issue
14
Pages
7606-7612
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W3013661064
Cited by
179
References
3
FWCI
6.17
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Mesoscale bicontinuous networks in self-healing hydrogels delay fatigue fracture. https://app.cochat.ai/papers/10.1073/pnas.2000189117
The paper
Li, X., Cui, K., Sun, T. L., Meng, L., Yu, C., Li, L., Creton, C., Kurokawa, T., & Gong, J. P. (2020). Mesoscale bicontinuous networks in self-healing hydrogels delay fatigue fracture. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.2000189117

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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.