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Self-Motile Colloidal Particles: From Directed Propulsion to Random Walk
Open accessAbstract
The motion of an artificial microscale swimmer that uses a chemical reaction catalyzed on its own surface to achieve autonomous propulsion is fully characterized experimentally. It is shown that at short times it has a substantial component of directed motion, with a velocity that depends on the concentration of fuel molecules. At longer times, the motion reverts to a random walk with a substantially enhanced diffusion coefficient. Our results suggest strategies for designing artificial chemotactic systems.
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Cites
Purcell, E. M. (1977) · American Journal of Physics · doi:10.1119/1.10903 · Cited by 4,360
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Theurkauff, I., Cottin-Bizonne, C., Palacci, J., Ybert, C., & Bocquet, L. (2012) · Physical Review Letters · doi:10.1103/physrevlett.108.268303 · Cited by 773
The Environmental Impact of Micro/Nanomachines: A Review
Gao, W., & Wang, J. (2014) · ACS Nano · doi:10.1021/nn500077a · Cited by 594
Fabrication, Assembly, and Application of Patchy Particles
Pawar, A. B., & Kretzschmar, I. (2010) · Macromolecular Rapid Communications · doi:10.1002/marc.200900614 · Cited by 567
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Metadata
- Authors
- Howse, J. R., Jones, R. A. L., Ryan, A. J., Gough, T., Vafabakhsh, R., & Golestanian, R.
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 2007-07-27
- Volume
- 99
- Issue
- 4
- Pages
- 048102-048102
- ISSN
- 0031-9007 (ISSN-L)
- 1079-7114
- OpenAlex
- W2004610991
- Cited by
- 2,230
- References
- 1
- FWCI
- 29.40
- Type
- journal article
- Language
- en
- Open access
- green
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- Howse, J. R., Jones, R. A. L., Ryan, A. J., Gough, T., Vafabakhsh, R., & Golestanian, R. (2007). Self-Motile Colloidal Particles: From Directed Propulsion to Random Walk. Physical Review Letters. https://doi.org/10.1103/physrevlett.99.048102
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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.