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  4. Diffusion, sedimentation equilibrium, and harmonic trapping of run-and-tumble nanoswimmers
 
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Diffusion, sedimentation equilibrium, and harmonic trapping of run-and-tumble nanoswimmers

Journal
Soft Matter
Journal Volume
10
Journal Issue
18
Pages
3209-3217
Date Issued
2014
Author(s)
Wang, Z.
Chen, H.-Y.
Sheng, Y.-J.
Tsao, H.-K.
YU-JANE SHENG  
DOI
10.1039/c3sm53163e
URI
http://www.scopus.com/inward/record.url?eid=2-s2.0-84898418974&partnerID=MN8TOARS
http://scholars.lib.ntu.edu.tw/handle/123456789/385535
Abstract
The diffusion of self-propelling nanoswimmers is explored by dissipative particle dynamics in which a nanoswimmer swims by forming an instantaneous force dipole with one of its nearest neighboring solvent beads. Our simulations mimic run-and-tumble behavior by letting the swimmer run for a time τ, then it randomly changes its direction for the next run period. Our simulations show that the swimming speed (ν(a)) of a nanoswimmer is proportional to the propulsion force and the mobility of a pusher is the same as that of a puller. The effective diffusivity is determined by three methods: mean squared displacement, velocity autocorrelation function, and sedimentation equilibrium. The active colloid undergoes directed propulsion at short time scales but changes to random motion at long time scales. The velocity autocorrelation function decreases with time and becomes zero beyond the run time. Under gravity, the concentration profile of active colloids follows Boltzmann distribution with a sedimentation length consistent with that acquired from the drift-diffusion equation. In our simulation, all three methods yield the same result, the effective diffusivity of an active colloid is the sum of the diffusivity of a passive colloid and ν(a)²τ/6. When the active colloids are confined by a harmonic well, they are trapped within a confinement length defined by the balance between the swimmer active force and restoring force of the well. When the confinement length is large compared to the run length, the stationary density profile follows the Boltzmann distribution. However, when the run length exceeds the confinement length, the density distribution is no longer described by Boltzmann distribution, instead we found a bimodal distribution.
SDGs

[SDGs]SDG14

Type
journal article

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