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1.
J Chem Phys ; 145(4): 044905, 2016 Jul 28.
Artigo em Inglês | MEDLINE | ID: mdl-27475395

RESUMO

Colloidal particles were exposed to a random potential energy landscape that has been created optically via a speckle pattern. The mean particle density as well as the potential roughness, i.e., the disorder strength, were varied. The local probability density of the particles as well as its main characteristics were determined. For the first time, the disorder-averaged pair density correlation function g((1))(r) and an analogue of the Edwards-Anderson order parameter g((2))(r), which quantifies the correlation of the mean local density among disorder realisations, were measured experimentally and shown to be consistent with replica liquid state theory results.

2.
Soft Matter ; 11(33): 6703-15, 2015 Sep 07.
Artigo em Inglês | MEDLINE | ID: mdl-26223678

RESUMO

Janus colloids propelled by light, e.g., thermophoretic particles, offer promising prospects as artificial microswimmers. However, their swimming behavior and its dependence on fluid properties and fluid-colloid interactions remain poorly understood. Here, we investigate the behavior of a thermophoretic Janus colloid in its own temperature gradient using numerical simulations. The dissipative particle dynamics method with energy conservation is used to investigate the behavior in non-ideal and ideal-gas like fluids for different fluid-colloid interactions, boundary conditions, and temperature-controlling strategies. The fluid-colloid interactions appear to have a strong effect on the colloid behavior, since they directly affect heat exchange between the colloid surface and the fluid. The simulation results show that a reduction of the heat exchange at the fluid-colloid interface leads to an enhancement of colloid's thermophoretic mobility. The colloid behavior is found to be different in non-ideal and ideal fluids, suggesting that fluid compressibility plays a significant role. The flow field around the colloid surface is found to be dominated by a source-dipole, in agreement with the recent theoretical and simulation predictions. Finally, different temperature-control strategies do not appear to have a strong effect on the colloid's swimming velocity.

3.
Phys Rev E Stat Nonlin Soft Matter Phys ; 83(3 Pt 1): 031914, 2011 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-21517532

RESUMO

A discrete chemotactic predator-prey model is proposed in which the prey secrets a diffusing chemical which is sensed by the predator and vice versa. Two dynamical states corresponding to catching and escaping are identified and it is shown that steady hunting is unstable. For the escape process, the predator-prey distance is diffusive for short times but exhibits a transient subdiffusive behavior which scales as a power law t¹/³ with time t and ultimately crosses over to diffusion again. This allows us to classify the motility and dynamics of various predatory microbes and phagocytes. In particular, there is a distinct region in the parameter space where they prove to be infallible predators.


Assuntos
Quimiotaxia , Comportamento Predatório , Animais , Comportamento Animal , Simulação por Computador , AMP Cíclico/metabolismo , Difusão , Escherichia coli/metabolismo , Humanos , Interleucinas/metabolismo , Modelos Biológicos , Myxococcus xanthus/metabolismo , Fagócitos/citologia , Fagócitos/metabolismo , Dinâmica Populacional , Olfato
4.
Phys Rev E Stat Nonlin Soft Matter Phys ; 80(3 Pt 1): 031122, 2009 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-19905077

RESUMO

The Brownian dynamics of a single microorganism coupled by chemotaxis to a diffusing concentration field that is secreted by the microorganism itself is studied by computer simulations in spatial dimensions d=1,2,3 . Both cases of a chemoattractant and a chemorepellent are discussed. For a chemoattractant, we find a transient dynamical arrest until the microorganism diffuses for long times. For a chemorepellent, there is a transient ballistic motion in all dimensions and a long-time diffusion. These results are interpreted with the help of a theoretical analysis.


Assuntos
Fatores Quimiotáticos/metabolismo , Quimiotaxia , Modelos Biológicos , Bactérias/citologia , Bactérias/metabolismo , Simulação por Computador , Difusão , Fungos/citologia , Fungos/metabolismo , Microglia/citologia , Microglia/metabolismo , Fatores de Tempo
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