Parallel Adaptive Finite Element Algorithms for Solving the Coupled Electro-diffusion Equations

Abstract: rithms for solving the 3D electro-diffusion equations such as the Poisson-Nernst-Planck equations and the size-modified Poisson-Nernst-Planck equations in simulations of biomolecular systems in ionic liquid. A set of transformation methods based on the generalized Slotboom variables is used to solve the coupled equations. Calculations of the diffusion-reaction rate coefficients, electrostatic potential and ion concentrations for various systems verify the method’s validity and stability. The iterations between the Poisson equation and the Nernst- Planck equations in the primitive method and in the transformation method are compared to illustrate how the new method accelerates the convergence of the solution. To speed up the convergence, we introduce the DIIS (direct inversion of the iterative subspace) method including Simple Mixing and Anderson Mixing as under-relaxation techniques, the effectiveness of which on acceleration is shown by numerical tests. It is worth noting that the primitive method fails to solve the size-modified Poisson-Nernst-Planck equations for real protein systems but the transformation method succeeds in the simulations of the ACh-AChE reaction system and the DNA fragment. To improve the accuracy of the solution, we introduce high order elements and mesh adaptation based on an a posteriori error estimator. Numerical results indicate that our mesh adaptation process leads to quasi-optimal convergence. We implement our algorithms using the parallel adaptive finite element package PHG [53] and high parallel efficiency is obtained.

Standort
Deutsche Nationalbibliothek Frankfurt am Main
Umfang
Online-Ressource
Sprache
Englisch

Erschienen in
Parallel Adaptive Finite Element Algorithms for Solving the Coupled Electro-diffusion Equations ; volume:1 ; number:2013 ; year:2013 ; pages:90-108
Computational and mathematical biophysics ; 1, Heft 2013 (2013), 90-108

Urheber
Xie, Yan
Cheng, Jie
Lu, Benzhuo
Zhang, Linbo

DOI
10.2478/mlbmb-2013-0005
URN
urn:nbn:de:101:1-2410261647322.483408201255
Rechteinformation
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Letzte Aktualisierung
15.08.2025, 07:37 MESZ

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Beteiligte

  • Xie, Yan
  • Cheng, Jie
  • Lu, Benzhuo
  • Zhang, Linbo

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