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Effect of self-propulsion on equilibrium clustering

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cris.author.scopus-author-id36059677100
cris.author.scopus-author-id56212214600
dc.contributor.authorEthayaraja Mani
dc.contributor.authorLöwen, Hartmut
dc.date.accessioned2023-09-20T05:32:34Z
dc.date.available2023-09-20T05:32:34Z
dc.date.issued02-09-2015
dc.description.abstractIn equilibrium, colloidal suspensions governed by short-range attractive and long-range repulsive interactions form thermodynamically stable clusters. Using Brownian dynamics computer simulations, we investigate how this equilibrium clustering is affected when such particles are self-propelled. We find that the clustering process is stable under self-propulsion. For the range of interaction parameters studied and at low particle density, the cluster size increases with the speed of self-propulsion (activity) and for higher activity the cluster size decreases, showing a nonmonotonic variation of cluster size with activity. This clustering behavior is distinct from the pure kinetic (or motility-induced) clustering of self-propelling particles which is observed at significantly higher activities and densities. We present an equilibrium model incorporating the effect of activity as activity-induced attraction and repulsion by imposing that the strength of these interactions depend on activity superlinearly. The model explains the cluster size dependence of activity obtained from simulations semiquantitatively. Our predictions are verifiable in experiments on interacting synthetic colloidal microswimmers.
dc.identifier.doi10.1103/PhysRevE.92.032301
dc.identifier.issn15393755
dc.identifier.scopus2-s2.0-84942319991
dc.identifier.urihttps://apicris.irins.org/handle/IITM2023/47997
dc.relation.ispartofseriesPhysical Review E - Statistical, Nonlinear, and Soft Matter Physics
dc.sourcePhysical Review E - Statistical, Nonlinear, and Soft Matter Physics
dc.titleEffect of self-propulsion on equilibrium clustering
dc.typeJournal
dspace.entity.typePublication
oaire.citation.issue3
oaire.citation.volume92
oairecerif.author.affiliationIndian Institute of Technology, Madras
oairecerif.author.affiliation#PLACEHOLDER_PARENT_METADATA_VALUE#
person.affiliation.cityChennai
person.affiliation.cityDusseldorf
person.affiliation.id60025757
person.affiliation.id60025310
person.affiliation.nameIndian Institute of Technology Madras
person.affiliation.nameHeinrich-Heine-Universität Düsseldorf
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