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Cited by 284

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

3D Printable and Reconfigurable Liquid Crystal Elastomers with Light‐Induced Shape Memory via Dynamic Bond Exchange

Davidson, Emily C., Kotikian, Arda, Li, Shucong, Aizenberg, Joanna, Lewis, Jennifer A.·2020·Advanced Materials

Abstract

3D printable and reconfigurable liquid crystal elastomers (LCEs) that reversibly shape‐morph when cycled above and below their nematic‐to‐isotropic transition temperature (TNI) are created, whose actuated shape can be locked‐in via high‐temperature UV exposure. By synthesizing LCE‐based inks with light‐triggerable dynamic bonds, printing can be harnessed to locally program their director alignment and UV light can be used to enable controlled network reconfiguration without requiring an imposed mechanical field. Using this integrated approach, 3D LCEs are constructed in both monolithic and heterogenous layouts that exhibit complex shape changes, and whose transformed shapes could be locked‐in on demand.

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Crossref · 10.1002/adma.201905682

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Metadata

Authors
Davidson, E. C., Kotikian, A., Li, S., Aizenberg, J., & Lewis, J. A.
Venue
Advanced Materials
Publisher
Wiley
Published
2019-10-30
Volume
32
Issue
1
Pages
e1905682-e1905682
ISSN
  • 0935-9648 (ISSN-L)
  • 1521-4095
OpenAlex
W2982502209
Cited by
284
References
31
FWCI
20.66
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: 3D Printable and Reconfigurable Liquid Crystal Elastomers with Light‐Induced Shape Memory via Dynamic Bond Exchange. https://app.cochat.ai/papers/10.1002/adma.201905682
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Davidson, E. C., Kotikian, A., Li, S., Aizenberg, J., & Lewis, J. A. (2020). 3D Printable and Reconfigurable Liquid Crystal Elastomers with Light‐Induced Shape Memory via Dynamic Bond Exchange. Advanced Materials. https://doi.org/10.1002/adma.201905682

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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.