2020
DOI: 10.48550/arxiv.2001.04654
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Aggregate morphology of active Brownian particles on porous, circular walls

Suchismita Das,
Sounok Ghosh,
Raghunath Chelakkot

Abstract: We study the motility-induced aggregation of active Brownian particles on a porous, circular wall. We observe that the morphology of aggregated dense-phase on a static wall depends on the wall porosity, particle motility, and the radius of the circular wall. Our analysis reveals two morphologically distinct, dense aggregates; a connected dense cluster that spreads uniformly on the circular wall, and a localized cluster which breaks the rotational symmetry of the system. These distinct morphological states are … Show more

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Cited by 3 publications
(5 citation statements)
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“…4 (b) reports a set of spatial correlations functions corresponding to different values of τ . It shows the excellent agreement between the numerical data and the theoretical predictions (12). Based on such an exponential behaviour, we argue that represents a measure of 12) and ( 14).…”
Section: A Spatial Velocity and Energy Correlationssupporting
confidence: 75%
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“…4 (b) reports a set of spatial correlations functions corresponding to different values of τ . It shows the excellent agreement between the numerical data and the theoretical predictions (12). Based on such an exponential behaviour, we argue that represents a measure of 12) and ( 14).…”
Section: A Spatial Velocity and Energy Correlationssupporting
confidence: 75%
“…, whereas in general we have to write it in terms of Hypergeometric functions. By expanding the result in powers of , one verifies that the terms are very well reproduced by the formula (12). This procedure yields the same result as if we expand up to the second order in q the denominator in Eq.…”
Section: Appendix C: Spatial Correlations Of the Velocity And Energiessupporting
confidence: 57%
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“…The dynamics of SPP in complex and nonhomogeneous environments constitute a central issue for its great biological interest. Indeed, in Nature, microswimmers or bacteria, when encounter soft or solid obstacles [22] or even hard walls [23], accumulate in front of them producing interesting patterns [24][25][26][27][28]. Morover, the swimming in porous soil [29], blood flow [30] or biological tissues [31] constitute other contexts of investigation.…”
Section: Introductionmentioning
confidence: 99%
“…Its usefulness is also suggested by the low particle concentrations required. In fact, the cluster formation is strongly enhanced by the presence of confining geometries, as experimentally shown for bacteria [39][40][41] or artificial microswimmers [13,42], since active particles accumulate near boundaries [43][44][45][46], wall channels [47][48][49][50][51], and obstacles [52][53][54][55]. The employment of active particles, instead of passive colloidal particles, to control the channel occlusion leads to further advantages.…”
mentioning
confidence: 98%