The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Self-healing polymeric materials
Abstract
Inspired by nature, self-healing materials represent the forefront of recent developments in materials chemistry and engineering. This review outlines the recent advances in the field of self-healing polymers. The first part discusses thermodynamic requirements for self-healing networks in the context of conformation changes that contribute to the Gibbs free energy. The chain flexibility significantly contributes to the entropy changes, whereas the heat of reaction and the external energy input are the main contributors to enthalpy changes. The second part focuses on chemical reactions that lead to self-healing, and the primary classes are the covalent bonding, supramolecular assemblies, ionic interactions, chemo-mechanical self-healing, and shape memory polymers. The third part outlines recent advances using encapsulation, remote self-healing and the role of shape memory polymers. Recent developments in the field of self-healing polymers undeniably indicate that the main challenge will be the designing of high glass transition (Tg) functional materials, which also exhibit stimuli-responsive attributes. Build-in controllable hierarchical heterogeneousness at various length scales capable of remote self-healing by physical and chemical responses will be essential in designing future materials of the 21st century.
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
Cites
Light-induced shape-memory polymers
Lendlein, A., Jiang, H., Jünger, O., & Langer, R. (2005) · Nature · doi:10.1038/nature03496 · Cited by 2,006
Rabinowitz, J. D., & White, E. (2010) · Science · doi:10.1126/science.1193497 · Cited by 1,982
Holten-Andersen, N., Harrington, M. J., Birkedal, H., Lee, B. P., Messersmith, P. B., Lee, K. Y. C., & Waite, J. H. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1015862108 · Cited by 1,597
Water-driven programmable polyurethane shape memory polymer: Demonstration and mechanism
Huang, W. M., Yang, B., An, L., Li, C., & Chan, Y. S. (2005) · Applied Physics Letters · doi:10.1063/1.1880448 · Cited by 616
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
Linear/Network Poly(ε-caprolactone) Blends Exhibiting Shape Memory Assisted Self-Healing (SMASH)
Rodriguez, E. D., Luo, X., & Mather, P. T. (2011) · ACS Applied Materials & Interfaces · doi:10.1021/am101012c · Cited by 381
ROMP Reactivity of e ndo - and e xo -Dicyclopentadiene
Rule, J. D., & Moore, J. S. (2002) · Macromolecules · doi:10.1021/ma0209489 · Cited by 266
Embedded Shape‐Memory Alloy Wires for Improved Performance of Self‐Healing Polymers
Kirkby, E. L., Rule, J. D., Michaud, V. J., Sottos, N. R., White, S. R., & Månson, J. E. (2008) · Advanced Functional Materials · doi:10.1002/adfm.200701208 · Cited by 207
Cited by
The rise of plastic bioelectronics
Someya, T., Bao, Z., & Malliaras, G. G. (2016) · Nature · doi:10.1038/nature21004 · Cited by 1,884
Toxicity of organometal halide perovskite solar cells
Babayigit, A., Ethirajan, A., Muller, M., & Conings, B. (2016) · Nature Materials · doi:10.1038/nmat4572 · Cited by 1,533
Zhao, Q., Qi, H. J., & Xie, T. (2015) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2015.04.001 · Cited by 1,409
Wang, S., & Urban, M. W. (2020) · Nature Reviews Materials · doi:10.1038/s41578-020-0202-4 · Cited by 1,374
Self-citationShape memory polymers: Past, present and future developments
Hager, M. D., Bode, S., Weber, C., & Schubert, U. S. (2015) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2015.04.002 · Cited by 950
Metadata
- Authors
- Yang, Y., & Urban, M. W.
- Venue
- Chemical Society Reviews
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2013
- Volume
- 42
- Issue
- 17
- Pages
- 7446
- ISSN
- 0306-0012 (ISSN-L)
- 1460-4744
- OpenAlex
- W2075276828
- Cited by
- 1,444
- References
- 8
- FWCI
- 4.98
- 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
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.
