The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Biomedical applications of thermally activated shape memory polymers
Open accessAbstract
Shape memory polymers (SMPs) are smart materials that can remember a primary shape and can return to this primary shape from a deformed secondary shape when given an appropriate stimulus. This property allows them to be delivered in a compact form via minimally invasive surgeries in humans, and deployed to achieve complex final shapes. Here we review the various biomedical applications of SMPs and the challenges they face with respect to actuation and biocompatibility. While shape memory behavior has been demonstrated with heat, light and chemical environment, here we focus our discussion on thermally stimulated SMPs.
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Citations
Cites
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Cited by
Hu, J., Zhu, Y., Huang, H., & Lu, J. (2012) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2012.06.001 · Cited by 1,279
A review of stimuli-responsive shape memory polymer composites
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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
Huang, W. M., Ding, Z., Wang, C. C., Wei, J., Zhao, Y., & Purnawali, H. (2010) · Materials Today · doi:10.1016/s1369-7021(10)70128-0 · Cited by 747
Self-folding of polymer sheets using local light absorption
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Metadata
- Authors
- Small, IV, Singhal, P., Wilson, T. S., & Maitland, D. J.
- Venue
- Journal of Materials Chemistry
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2010
- Volume
- 20
- Issue
- 17
- Pages
- 3356
- ISSN
- 0959-9428 (ISSN-L)
- 1364-5501
- OpenAlex
- W2017569023
- Cited by
- 450
- References
- 28
- FWCI
- 48.07
- Type
- journal article
- Language
- en
- Open access
- green
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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.
