The DOI matches its Crossref record; 87 of the 87 references it cites were found in a registry or an index.
Recent advances in polymer shape memory
Open accessAbstract
Traditional shape memory polymers (SMPs) are those capable of memorizing a temporary shape and recovering to the permanent shape upon heating. Although such a basic concept has been known for half a century, recent progresses have challenged the conventional understanding of the polymer shape memory effect and significantly expanded the practical potential of SMPs. In this article, notable recent advances in the field of SMPs are highlighted. Particular emphasis is placed on how the new developments have changed the conventional view of SMPs, what they mean for practical applications, and where the future opportunities are.
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Cites
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Cited by
Zhao, Q., Qi, H. J., & Xie, T. (2015) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2015.04.001 · Cited by 1,409
Self-citationHu, J., Zhu, Y., Huang, H., & Lu, J. (2012) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2012.06.001 · Cited by 1,279
Advances in 4D Printing: Materials and Applications
Kuang, X., Roach, D. J., Wu, J., Hamel, C. M., Ding, Z., Wang, T., Dunn, M. L., & Qi, H. J. (2019) · Advanced Functional Materials · doi:10.1002/adfm.201805290 · Cited by 1,095
Shape memory polymers: Past, present and future developments
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Thermo-responsive polymers and their application as smart biomaterials
Kim, Y.-J., & Matsunaga, Y. T. (2017) · Journal of Materials Chemistry B · doi:10.1039/c7tb00157f · Cited by 568
Metadata
- Authors
- Xie, T.
- Venue
- Polymer
- Publisher
- Elsevier BV
- Published
- 2011-10
- Volume
- 52
- Issue
- 22
- Pages
- 4985-5000
- ISSN
- 0032-3861 (ISSN-L)
- OpenAlex
- W2148649213
- Cited by
- 870
- References
- 87
- FWCI
- 43.36
- Type
- journal article
- Language
- en
- Open access
- hybrid
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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.