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Cited by 377

The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.

Recent Advances in Shape Memory Soft Materials for Biomedical Applications

Chan, Benjamin Qi Yu, Low, Zhi Wei Kenny, Heng, Sylvester Jun Wen, Chan, Siew Yin, Owh, Cally, Loh, Xian Jun·2016·ACS Applied Materials & Interfaces

Abstract

Shape memory polymers (SMPs) are smart and adaptive materials able to recover their shape through an external stimulus. This functionality, combined with the good biocompatibility of polymers, has garnered much interest for biomedical applications. In this review, we discuss the design considerations critical to the successful integration of SMPs for use in vivo. We also highlight recent work on three classes of SMPs: shape memory polymers and blends, shape memory polymer composites, and shape memory hydrogels. These developments open the possibility of incorporating SMPs into device design, which can lead to vast technological improvements in the biomedical field.

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Crossref · 10.1021/acsami.6b01295

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Metadata

Authors
Chan, B. Q. Y., Low, Z. W. K., Heng, S. J. W., Chan, S. Y., Owh, C., & Loh, X. J.
Venue
ACS Applied Materials & Interfaces
Published
2016-04-19
Volume
8
Issue
16
Pages
10070-10087
ISSN
  • 1944-8244 (ISSN-L)
  • 1944-8252
OpenAlex
W2330266849
Cited by
377
References
31
FWCI
44.86
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Recent Advances in Shape Memory Soft Materials for Biomedical Applications. https://app.cochat.ai/papers/10.1021/acsami.6b01295
The paper
Chan, B. Q. Y., Low, Z. W. K., Heng, S. J. W., Chan, S. Y., Owh, C., & Loh, X. J. (2016). Recent Advances in Shape Memory Soft Materials for Biomedical Applications. ACS Applied Materials & Interfaces. https://doi.org/10.1021/acsami.6b01295

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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.