The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Deformable, Programmable, and Shape‐Memorizing Micro‐Optics
Abstract
The use of shape memory polymers is demonstrated for deformable, programmable, and shape‐memorizing micro‐optical devices. A semi‐crystalline shape memory elastomer, crosslinked poly(ethylene‐co‐vinyl acetate), is used to prepare various micro‐optic components, ranging from microlens and microprism arrays to diffraction gratings and holograms. The precise replication of surface features at the micro‐ and nanoscale and the formation of crosslinked shape memory polymer networks can be achieved in a single step via compression molding. Further deformation via hot pressing or stretching of micro‐optics formed in this manner allows manipulation of the microscopic surface features, and thus the corresponding optical properties. Due to the shape memory effect, the original surface structures and the optical properties can be recovered and the devices be reprogrammed, with excellent reversibility in the optical properties. Furthermore, arrays of transparent resistive microheaters can be integrated with deformed micro‐optical devices to selectively trigger the recovery of surface features in a spatially programmable manner, thereby providing additional capabilities in user‐definable optics.
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
Review of progress in shape-memory polymers
Liu, C., Qin, H., & Mather, P. T. (2007) · Journal of Materials Chemistry · doi:10.1039/b615954k · Cited by 1,942
Stimulus-responsive shape memory materials: a review
Sun, L., Huang, W. M., Ding, Z., Zhao, Y., Wang, C. C., Purnawali, H., & Tang, C. (2012) · Materials & Design · doi:10.1016/j.matdes.2011.04.065 · Cited by 1,105
Mather, P. T., Luo, X., & Rousseau, I. A. (2009) · Annual Review of Materials Research · doi:10.1146/annurev-matsci-082908-145419 · Cited by 911
Shape-memory polymers as a technology platform for biomedical applications
Lendlein, A., Behl, M., Hiebl, B., & Wischke, C. (2010) · Expert Review of Medical Devices · doi:10.1586/erd.10.8 · Cited by 469
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
Toward a self-deploying shape memory polymer neuronal electrode
Sharp, A. A., Panchawagh, H. V., Ortega, A., Artale, R., Richardson-Burns, S., Finch, D. S., Gall, K., Mahajan, R. L., & Restrepo, D. (2006) · Journal of Neural Engineering · doi:10.1088/1741-2560/3/4/l02 · Cited by 113
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-citationShape 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
Reprogrammable recovery and actuation behaviour of shape-memory polymers
Lendlein, A., & Gould, O. E. C. (2019) · Nature Reviews Materials · doi:10.1038/s41578-018-0078-8 · Cited by 723
Shape memory polymer network with thermally distinct elasticity and plasticity
Zhao, Q., Zou, W., Luo, Y., & Xie, T. (2016) · Science Advances · doi:10.1126/sciadv.1501297 · Cited by 514
Self-citationGe, D., Lee, E., Yang, L., Cho, Y., Li, M., Gianola, D. S., & Yang, S. (2015) · Advanced Materials · doi:10.1002/adma.201500281 · Cited by 462
Metadata
- Authors
- Xu, H., Yu, C., Wang, S., Malyarchuk, V., Xie, T., & Rogers, J. A.
- Venue
- Advanced Functional Materials
- Publisher
- Wiley
- Published
- 2013-02-06
- Volume
- 23
- Issue
- 26
- Pages
- 3299-3306
- ISSN
- 1616-301X (ISSN-L)
- 1616-3028
- OpenAlex
- W2063838531
- Cited by
- 221
- References
- 6
- FWCI
- 21.70
- 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: Deformable, Programmable, and Shape‐Memorizing Micro‐Optics. https://app.cochat.ai/papers/10.1002/adfm.201203396
- The paper
- Xu, H., Yu, C., Wang, S., Malyarchuk, V., Xie, T., & Rogers, J. A. (2013). Deformable, Programmable, and Shape‐Memorizing Micro‐Optics. Advanced Functional Materials. https://doi.org/10.1002/adfm.201203396
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.