The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Shape Memory Assisted Self-Healing Coating
Abstract
In this communication, we report the preparation and characterization of new shape memory assisted self-healing (SMASH) coatings. The coatings feature a phase-separated morphology with electrospun thermoplastic poly(ε-caprolactone) (PCL) fibers randomly distributed in a shape memory epoxy matrix. Mechanical damage to the coating can be self-healed via heating, which simultaneously triggers two events: (1) the shape recovery of the matrix to bring the crack surfaces in spatial proximity, and (2) the melting and flow of the PCL fibers to rebond the crack. In controlled healing experiments, damaged coatings not only heal structurally, but also functionally by almost completely restoring the corrosion resistance. We envision the wide applicability of the SMASH concept in designing the next-generation self-healing materials.
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
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
Self-citationConductive shape memory nanocomposites for high speed electrical actuation
Luo, X., & Mather, P. T. (2010) · Soft Matter · doi:10.1039/c001295e · Cited by 229
Self-citationEmbedded 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
Polyethylene-co-methacrylic acid healing agents for mendable epoxy resins
Meure, S., Wu, D. Y., & Furman, S. (2009) · Acta Materialia · doi:10.1016/j.actamat.2009.05.032 · Cited by 145
A viscoplastic theory of shape memory polymer fibres with application to self-healing materials
Li, G., & Shojaei, A. (2012) · Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rspa.2011.0628 · Cited by 117
Healable thermoset polymer composite embedded with stimuli-responsive fibres
Li, G., Meng, H., & Hu, J. (2012) · Journal of The Royal Society Interface · doi:10.1098/rsif.2012.0409 · Cited by 96
Nji, J., & Li, G. (2012) · Smart Materials and Structures · doi:10.1088/0964-1726/21/2/025011 · Cited by 96
Cited by
Shape 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
3D Printing of Highly Stretchable, Shape-Memory, and Self-Healing Elastomer toward Novel 4D Printing
Kuang, X., Chen, K., Dunn, C. K., Wu, J., Li, V. C. F., & Qi, H. J. (2018) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.7b18265 · Cited by 523
Inherently Photohealable and Thermal Shape-Memory Polydisulfide Networks
Michal, B. T., Jaye, C. A., Spencer, E. J., & Rowan, S. J. (2013) · ACS Macro Letters · doi:10.1021/mz400318m · Cited by 420
Shape Memory Polymers for Body Motion Energy Harvesting and Self‐Powered Mechanosensing
Liu, R., Kuang, X., Deng, J., Wang, Y., Wang, A. C., Ding, W., Lai, Y., Chen, J., Wang, P., Lin, Z., et al. (2018) · Advanced Materials · doi:10.1002/adma.201705195 · Cited by 359
Self‐Healing Polyurethanes with Shape Recovery
Heo, Y., & Sodano, H. A. (2014) · Advanced Functional Materials · doi:10.1002/adfm.201400299 · Cited by 294
Metadata
- Authors
- Luo, X., & Mather, P. T.
- Venue
- ACS Macro Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2013-02-01
- Volume
- 2
- Issue
- 2
- Pages
- 152-156
- ISSN
- 2161-1653 (ISSN-L)
- OpenAlex
- W2314740993
- Cited by
- 412
- References
- 7
- FWCI
- 20.59
- 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: Shape Memory Assisted Self-Healing Coating. https://app.cochat.ai/papers/10.1021/mz400017x
- The paper
- Luo, X., & Mather, P. T. (2013). Shape Memory Assisted Self-Healing Coating. ACS Macro Letters. https://doi.org/10.1021/mz400017x
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.