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Cited by 412

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

Luo, Xiaofan, Mather, Patrick T.·2013·ACS Macro Letters

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.

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Metadata

Authors
Luo, X., & Mather, P. T.
Venue
ACS Macro Letters
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

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CoChat. (2026). Citation check: Shape Memory Assisted Self-Healing Coating. https://app.cochat.ai/papers/10.1021/mz400017x
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Luo, X., & Mather, P. T. (2013). Shape Memory Assisted Self-Healing Coating. ACS Macro Letters. https://doi.org/10.1021/mz400017x

Data sources

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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.