The DOI matches its Crossref record.
Self‐healing in Nanocomposite Hydrogels
Abstract
Polymer hydrogels with characteristics distinct from those of solid materials are one of the most promising candidates for smart materials. Here, we report that a nanocomposite hydrogel (NC gel) consisting of a unique polymer/clay network structure, can exhibit complete self‐healing through autonomic reconstruction of crosslinks across a damaged interface. Mechanical damage in NC gels can be repaired without the use of a healing agent, and even sections of NC gels separated by cutting, from whichever the same or different kinds of NC gel, perfectly (re‐)combine by just contacting the cut surfaces together at mildly elevated temperatures. In NC gels, the autonomic fusion of cut surfaces as well as the self‐healing could be achieved not only immediately after being cut but also after a long waiting time. magnified image
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Fracture and adhesion of soft materials: a review
Creton, C., & Ciccotti, M. (2016) · Reports on Progress in Physics · doi:10.1088/0034-4885/79/4/046601 · Cited by 915
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
“Nonswellable” Hydrogel Without Mechanical Hysteresis
Kamata, H., Akagi, Y., Kayasuga-Kariya, Y., Chung, U.-I., & Sakai, T. (2014) · Science · doi:10.1126/science.1247811 · Cited by 669
Poly(vinyl alcohol) Hydrogel Can Autonomously Self-Heal
Zhang, H., Xia, H., & Zhao, Y. (2012) · ACS Macro Letters · doi:10.1021/mz300451r · Cited by 509
Deng, Z., Hu, T., Lei, Q., He, J., Ma, P. X., & Guo, B. (2019) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.8b20178 · Cited by 486
Metadata
- Authors
- Haraguchi, K., Uyama, K., & Tanimoto, H.
- Venue
- Macromolecular Rapid Communications
- Publisher
- Wiley
- Published
- 2011-07-05
- Volume
- 32
- Issue
- 16
- Pages
- 1253-1258
- ISSN
- 1022-1336 (ISSN-L)
- 1521-3927
- OpenAlex
- W2021055214
- Cited by
- 321
- References
- 0
- FWCI
- 17.18
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Self‐healing in Nanocomposite Hydrogels. https://app.cochat.ai/papers/10.1002/marc.201100248
- The paper
- Haraguchi, K., Uyama, K., & Tanimoto, H. (2011). Self‐healing in Nanocomposite Hydrogels. Macromolecular Rapid Communications. https://doi.org/10.1002/marc.201100248
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
