Literature DB >> 18324352

Influence of hydrodynamic interactions on lane formation in oppositely charged driven colloids.

M Rex1, H Löwen.   

Abstract

The influence of hydrodynamic interactions on lane formation of oppositely charged driven colloidal suspensions is investigated using Brownian dynamics computer simulations performed on the Rotne-Prager level of the mobility tensor. Two cases are considered, namely sedimentation and electrophoresis. In the latter case the Oseen contribution to the mobility tensor is screened due to the opposite motion of counterions. The simulation results are compared to that resulting from simple Brownian dynamics where hydrodynamic interactions are neglected. For sedimentation, we find that hydrodynamic interactions strongly disfavor laning. In the steady state of lanes, a macroscopic phase separation of lanes is observed. This is in marked contrast to the simple Brownian case where a finite size of lanes was obtained in the steady state. For strong Coulomb interactions between the colloidal particles a lateral square lattice of oppositely driven lanes is stable similar to the simple Brownian dynamics. In an electric field, on the other hand, the behavior is found in qualitative and quantitative accordance with the case of neglected hydrodynamics.

Entities:  

Year:  2008        PMID: 18324352     DOI: 10.1140/epje/i2007-10274-4

Source DB:  PubMed          Journal:  Eur Phys J E Soft Matter        ISSN: 1292-8941            Impact factor:   1.890


  22 in total

1.  Lane formation in colloidal mixtures driven by an external field.

Authors:  J Dzubiella; G P Hoffmann; H Löwen
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2002-01-11

2.  Nonequilibrium pattern formation in strongly interacting driven colloids.

Authors:  Hartmut Löwen; Joachim Dzubiella
Journal:  Faraday Discuss       Date:  2003       Impact factor: 4.008

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Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2005-01-18

5.  Combining molecular dynamics with Lattice Boltzmann: a hybrid method for the simulation of (charged) colloidal systems.

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Journal:  J Chem Phys       Date:  2005-05-08       Impact factor: 3.488

6.  Shear instabilities in granular mixtures.

Authors:  Massimo Pica Ciamarra; Antonio Coniglio; Mario Nicodemi
Journal:  Phys Rev Lett       Date:  2005-05-11       Impact factor: 9.161

7.  Direct numerical simulations of electrophoresis of charged colloids.

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Journal:  Phys Rev Lett       Date:  2006-05-26       Impact factor: 9.161

8.  Prediction and observation of crystal structures of oppositely charged colloids.

Authors:  A-P Hynninen; C G Christova; R van Roij; A van Blaaderen; M Dijkstra
Journal:  Phys Rev Lett       Date:  2006-04-07       Impact factor: 9.161

9.  Electrophoretic properties of highly charged colloids: a hybrid molecular dynamics/lattice Boltzmann simulation study.

Authors:  Apratim Chatterji; Jürgen Horbach
Journal:  J Chem Phys       Date:  2007-02-14       Impact factor: 3.488

10.  CuAu structure in the restricted primitive model and oppositely charged colloids.

Authors:  A-P Hynninen; M E Leunissen; A van Blaaderen; M Dijkstra
Journal:  Phys Rev Lett       Date:  2006-01-04       Impact factor: 9.161

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  4 in total

1.  Driven binary colloidal mixture in a 2D narrow channel with hard walls.

Authors:  M Ebrahim Foulaadvand; Bahareh Aghaee
Journal:  Eur Phys J E Soft Matter       Date:  2016-03-28       Impact factor: 1.890

2.  A viscous quantum hydrodynamics model based on dynamic density functional theory.

Authors:  Abdourahmane Diaw; Michael S Murillo
Journal:  Sci Rep       Date:  2017-11-10       Impact factor: 4.379

3.  Phase Transitions of Oppositely Charged Colloidal Particles Driven by Alternating Current Electric Field.

Authors:  Bin Li; Yong-Lei Wang; Guang Shi; Yangyang Gao; Xinghua Shi; Clifford E Woodward; Jan Forsman
Journal:  ACS Nano       Date:  2021-02-12       Impact factor: 15.881

4.  Stochastic Density Functional Theory on Lane Formation in Electric-Field-Driven Ionic Mixtures: Flow-Kernel-Based Formulation.

Authors:  Hiroshi Frusawa
Journal:  Entropy (Basel)       Date:  2022-04-01       Impact factor: 2.738

  4 in total

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