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Cited by 773

The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.

Dynamic Clustering in Active Colloidal Suspensions with Chemical Signaling

Open access
Theurkauff, I., Cottin-Bizonne, C., Palacci, J., Ybert, C., Bocquet, L.·2012·Physical Review Letters

Abstract

In this Letter, we explore experimentally the phase behavior of a dense active suspension of self-propelled colloids. In addition to a solidlike and gaslike phase observed for high and low densities, a novel cluster phase is reported at intermediate densities. This takes the form of a stationary assembly of dense aggregates-resulting from a permanent dynamical merging and separation of active colloids-whose average size grows with activity as a linear function of the self-propelling velocity. While different possible scenarios can be considered to account for these observations-such as a generic velocity weakening instability recently put forward-we show that the experimental results are reproduced mathematically by a chemotactic aggregation mechanism, originally introduced to account for bacterial aggregation and accounting here for diffusiophoretic chemical interaction between colloidal swimmers.

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Metadata

Authors
Theurkauff, I., Cottin-Bizonne, C., Palacci, J., Ybert, C., & Bocquet, L.
Venue
Physical Review Letters
Published
2012-06-26
Volume
108
Issue
26
Pages
268303-268303
ISSN
  • 0031-9007 (ISSN-L)
  • 1079-7114
OpenAlex
W2042898119
Cited by
773
References
21
FWCI
34.76
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Dynamic Clustering in Active Colloidal Suspensions with Chemical Signaling. https://app.cochat.ai/papers/10.1103/physrevlett.108.268303
The paper
Theurkauff, I., Cottin-Bizonne, C., Palacci, J., Ybert, C., & Bocquet, L. (2012). Dynamic Clustering in Active Colloidal Suspensions with Chemical Signaling. Physical Review Letters. https://doi.org/10.1103/physrevlett.108.268303

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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.