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Pattern Formation and Shape Changes in Self-Oscillating Polymer Gels
Abstract
We developed an efficient model for responsive gels that captures large-scale, two-dimensional (2D) deformations and chemical reactions within a swollen polymer network. The 2D calculations allowed us to probe not only volume changes but also changes in sample shape. By focusing on gels undergoing the oscillatory Belousov-Zhabotinsky reaction, we observed traveling waves of local swelling that form a rich variety of dynamic patterns and give rise to distinctive oscillations in the gel's shape. The observed patterns depend critically on the gel's dimensions. The approach provides a useful computational tool for probing the dynamics of chemomechanical processes and uncovering morphological transformations in responsive gels.
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Cited by
Materials learning from life: concepts for active, adaptive and autonomous molecular systems
Merindol, R., & Walther, A. (2017) · Chemical Society Reviews · doi:10.1039/c6cs00738d · Cited by 533
Rational design of functional and tunable oscillating enzymatic networks
Semenov, S. N., Wong, A. S. Y., van der Made, R. M., Postma, S. G. J., Groen, J., van Roekel, H. W. H., de Greef, T. F. A., & Huck, W. T. S. (2015) · Nature Chemistry · doi:10.1038/nchem.2142 · Cited by 285
Metadata
- Authors
- Yashin, V. V., & Balazs, A. C.
- Venue
- Science
- Published
- 2006-11-03
- Volume
- 314
- Issue
- 5800
- Pages
- 798-801
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W1979333743
- Cited by
- 251
- References
- 0
- FWCI
- 29.29
- Type
- journal article
- Language
- en
- Open access
- closed
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- Yashin, V. V., & Balazs, A. C. (2006). Pattern Formation and Shape Changes in Self-Oscillating Polymer Gels. Science. https://doi.org/10.1126/science.1132412
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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.
