Literature DB >> 21895168

Comparison of Brownian dynamics algorithms with hydrodynamic interaction.

Ricardo Rodríguez Schmidt1, José G Hernández Cifre, José García de la Torre.   

Abstract

The hydrodynamic interaction is an essential effect to consider in Brownian dynamics simulations of polymer and nanoparticle dilute solutions. Several mathematical approaches can be used to build Brownian dynamics algorithms with hydrodynamic interaction, the most common of them being the exact but time demanding Cholesky decomposition and the Chebyshev polynomial expansion. Recently, Geyer and Winter [J. Chem. Phys. 130, 1149051 (2009)] have proposed a new approximation to treat the hydrodynamic interaction that seems quite efficient and is increasingly used. So far, a systematic comparison among those approaches has not been clearly made. In this paper, several features and the efficiency of typical implementations of those approaches are evaluated by using bead-and-spring chain models. The different sensitivity to the bead overlap detected for the different implementations may be of interest to select the suitable algorithm for a given simulation.
© 2011 American Institute of Physics

Year:  2011        PMID: 21895168     DOI: 10.1063/1.3626868

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


  6 in total

1.  Assessing the two-body diffusion tensor calculated by the bead models.

Authors:  Nuo Wang; Gary A Huber; J Andrew McCammon
Journal:  J Chem Phys       Date:  2013-05-28       Impact factor: 3.488

2.  Krylov subspace methods for computing hydrodynamic interactions in brownian dynamics simulations.

Authors:  Tadashi Ando; Edmond Chow; Yousef Saad; Jeffrey Skolnick
Journal:  J Chem Phys       Date:  2012-08-14       Impact factor: 3.488

3.  A phenomenological particle-based platelet model for simulating filopodia formation during early activation.

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Journal:  Int J Numer Method Biomed Eng       Date:  2015-03       Impact factor: 2.747

4.  A molecule-centered method for accelerating the calculation of hydrodynamic interactions in Brownian dynamics simulations containing many flexible biomolecules.

Authors:  Adrian H Elcock
Journal:  J Chem Theory Comput       Date:  2013-07-09       Impact factor: 6.006

5.  SOP-GPU: influence of solvent-induced hydrodynamic interactions on dynamic structural transitions in protein assemblies.

Authors:  Andrey Alekseenko; Olga Kononova; Yaroslav Kholodov; Kenneth A Marx; Valeri Barsegov
Journal:  J Comput Chem       Date:  2016-03-26       Impact factor: 3.376

Review 6.  Spatial simulations in systems biology: from molecules to cells.

Authors:  Michael Klann; Heinz Koeppl
Journal:  Int J Mol Sci       Date:  2012-06-21       Impact factor: 6.208

  6 in total

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