Programming temporal shapeshifting
Abstract
Shapeshifting enables a wide range of engineering and biomedical applications, but until now transformations have required external triggers. This prerequisite limits viability in closed or inert systems and puts forward the challenge of developing materials with intrinsically encoded shape evolution. Herein we demonstrate programmable shape-memory materials that perform a sequence of encoded actuations under constant environment conditions without using an external trigger. We employ dual network hydrogels: in the first network, covalent crosslinks are introduced for elastic energy storage, and in the second one, temporary hydrogen-bonds regulate the energy release rate. Through strain-induced and time-dependent reorganization of the reversible hydrogen-bonds, this dual network allows for encoding both the rate and pathway of shape transformations on timescales from seconds to hours. In conclusion, this generic mechanism for programming trigger-free shapeshifting opens new ways to design autonomous actuators, drug-release systems and active implants.
- Authors:
-
[1];
- Univ. of North Carolina at Chapel Hill, Chapel Hill, NC (United States)
- Univ. of Akron, Akron, OH (United States)
- Publication Date:
- Research Org.:
- University of North Carolina, Chapel Hill, NC (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1435804
- Grant/Contract Number:
- SC0001011
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Nature Communications
- Additional Journal Information:
- Journal Volume: 7; Journal ID: ISSN 2041-1723
- Publisher:
- Nature Publishing Group
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 42 ENGINEERING; Gels and hydrogels; Polymers; Scaling laws; Supramolecular polymers
Citation Formats
Hu, Xiaobo, Zhou, Jing, Vatankhah-Varnosfaderani, Mohammad, Daniel, William F. M., Li, Qiaoxi, Zhushma, Aleksandr P., Dobrynin, Andrey V., and Sheiko, Sergei S. Programming temporal shapeshifting. United States: N. p., 2016.
Web. doi:10.1038/ncomms12919.
Hu, Xiaobo, Zhou, Jing, Vatankhah-Varnosfaderani, Mohammad, Daniel, William F. M., Li, Qiaoxi, Zhushma, Aleksandr P., Dobrynin, Andrey V., & Sheiko, Sergei S. Programming temporal shapeshifting. United States. https://doi.org/10.1038/ncomms12919
Hu, Xiaobo, Zhou, Jing, Vatankhah-Varnosfaderani, Mohammad, Daniel, William F. M., Li, Qiaoxi, Zhushma, Aleksandr P., Dobrynin, Andrey V., and Sheiko, Sergei S. Tue .
"Programming temporal shapeshifting". United States. https://doi.org/10.1038/ncomms12919. https://www.osti.gov/servlets/purl/1435804.
@article{osti_1435804,
title = {Programming temporal shapeshifting},
author = {Hu, Xiaobo and Zhou, Jing and Vatankhah-Varnosfaderani, Mohammad and Daniel, William F. M. and Li, Qiaoxi and Zhushma, Aleksandr P. and Dobrynin, Andrey V. and Sheiko, Sergei S.},
abstractNote = {Shapeshifting enables a wide range of engineering and biomedical applications, but until now transformations have required external triggers. This prerequisite limits viability in closed or inert systems and puts forward the challenge of developing materials with intrinsically encoded shape evolution. Herein we demonstrate programmable shape-memory materials that perform a sequence of encoded actuations under constant environment conditions without using an external trigger. We employ dual network hydrogels: in the first network, covalent crosslinks are introduced for elastic energy storage, and in the second one, temporary hydrogen-bonds regulate the energy release rate. Through strain-induced and time-dependent reorganization of the reversible hydrogen-bonds, this dual network allows for encoding both the rate and pathway of shape transformations on timescales from seconds to hours. In conclusion, this generic mechanism for programming trigger-free shapeshifting opens new ways to design autonomous actuators, drug-release systems and active implants.},
doi = {10.1038/ncomms12919},
journal = {Nature Communications},
number = ,
volume = 7,
place = {United States},
year = {Tue Sep 27 00:00:00 EDT 2016},
month = {Tue Sep 27 00:00:00 EDT 2016}
}
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