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Brownian Motion of an Ellipsoid
Abstract
We studied the Brownian motion of isolated ellipsoidal particles in water confined to two dimensions and elucidated the effects of coupling between rotational and translational motion. By using digital video microscopy, we quantified the crossover from short-time anisotropic to long-time isotropic diffusion and directly measured probability distributions functions for displacements. We confirmed and interpreted our measurements by using Langevin theory and numerical simulations. Our theory and observations provide insights into fundamental diffusive processes, which are potentially useful for understanding transport in membranes and for understanding the motions of anisotropic macromolecules.
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Cited by
Friedrich, B. M., & Jülicher, F. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0703530104 · Cited by 287
Godin, A. G., Varela, J. A., Gao, Z., Danné, N., Dupuis, J. P., Lounis, B., Groc, L., & Cognet, L. (2017) · Nature Nanotechnology · doi:10.1038/nnano.2016.248 · Cited by 253
Tognato, R., Bronte Ciriza, D., Maragò, O. M., & Jones, P. H. (2023) · Biomedical Optics Express · doi:10.1364/boe.488931 · Cited by 12
Metadata
- Authors
- Han, Y., Alsayed, A. M., Nobili, M., Zhang, J., Lubensky, T. C., & Yodh, A. G.
- Venue
- Science
- Published
- 2006-10-27
- Volume
- 314
- Issue
- 5799
- Pages
- 626-630
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2035087998
- Cited by
- 524
- References
- 0
- FWCI
- 5.92
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Brownian Motion of an Ellipsoid. https://app.cochat.ai/papers/10.1126/science.1130146
- The paper
- Han, Y., Alsayed, A. M., Nobili, M., Zhang, J., Lubensky, T. C., & Yodh, A. G. (2006). Brownian Motion of an Ellipsoid. Science. https://doi.org/10.1126/science.1130146
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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.