Literature DB >> 26723591

Efficient Schmidt number scaling in dissipative particle dynamics.

Ryan C Krafnick1, Angel E García1.   

Abstract

Dissipative particle dynamics is a widely used mesoscale technique for the simulation of hydrodynamics (as well as immersed particles) utilizing coarse-grained molecular dynamics. While the method is capable of describing any fluid, the typical choice of the friction coefficient γ and dissipative force cutoff rc yields an unacceptably low Schmidt number Sc for the simulation of liquid water at standard temperature and pressure. There are a variety of ways to raise Sc, such as increasing γ and rc, but the relative cost of modifying each parameter (and the concomitant impact on numerical accuracy) has heretofore remained undetermined. We perform a detailed search over the parameter space, identifying the optimal strategy for the efficient and accuracy-preserving scaling of Sc, using both numerical simulations and theoretical predictions. The composite results recommend a parameter choice that leads to a speed improvement of a factor of three versus previously utilized strategies.

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Year:  2015        PMID: 26723591      PMCID: PMC4575321          DOI: 10.1063/1.4930921

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  10 in total

1.  Dissipative particle dynamics: a useful thermostat for equilibrium and nonequilibrium molecular dynamics simulations.

Authors:  Thomas Soddemann; Burkhard Dünweg; Kurt Kremer
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2003-10-08

2.  Quantifying the rheological and hemodynamic characteristics of sickle cell anemia.

Authors:  Huan Lei; George Em Karniadakis
Journal:  Biophys J       Date:  2012-01-18       Impact factor: 4.033

3.  Schmidt number effects in dissipative particle dynamics simulation of polymers.

Authors:  Vasileios Symeonidis; George Em Karniadakis; Bruce Caswell
Journal:  J Chem Phys       Date:  2006-11-14       Impact factor: 3.488

4.  Poiseuille flow to measure the viscosity of particle model fluids.

Authors:  J A Backer; C P Lowe; H C J Hoefsloot; P D Iedema
Journal:  J Chem Phys       Date:  2005-04-15       Impact factor: 3.488

5.  Rheology, microstructure and migration in brownian colloidal suspensions.

Authors:  Wenxiao Pan; Bruce Caswell; George Em Karniadakis
Journal:  Langmuir       Date:  2010-01-05       Impact factor: 3.882

6.  Membrane protein mobility depends on the length of extra-membrane domains and on the protein concentration.

Authors:  Gernot Guigas; Matthias Weiss
Journal:  Soft Matter       Date:  2015-01-07       Impact factor: 3.679

7.  An efficient dissipative particle dynamics-based algorithm for simulating electrolyte solutions.

Authors:  Stefan Medina; Jiajia Zhou; Zhen-Gang Wang; Friederike Schmid
Journal:  J Chem Phys       Date:  2015-01-14       Impact factor: 3.488

8.  Induced polar order in sedimentation equilibrium of rod-like nanoswimmers.

Authors:  Song Xiao; Hsuan-Yi Chen; Yu-Jane Sheng; Heng-Kwong Tsao
Journal:  Soft Matter       Date:  2015-03-28       Impact factor: 3.679

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

Authors:  Zhengjia Wang; Hsuan-Yi Chen; Yu-Jane Sheng; Heng-Kwong Tsao
Journal:  Soft Matter       Date:  2014-03-10       Impact factor: 3.679

10.  Receptor-mediated membrane adhesion of lipid-polymer hybrid (LPH) nanoparticles studied by dissipative particle dynamics simulations.

Authors:  Zhenlong Li; Alemayehu A Gorfe
Journal:  Nanoscale       Date:  2015-01-14       Impact factor: 7.790

  10 in total

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