Unconditional Positivity-Preserving and Energy Stable Schemes for a Reduced Poisson-Nernst-Planck System

Unconditional Positivity-Preserving and Energy Stable Schemes for a Reduced Poisson-Nernst-Planck System

Year:    2020

Author:    Hailiang Liu, Wumaier Maimaitiyiming

Communications in Computational Physics, Vol. 27 (2020), Iss. 5 : pp. 1505–1529

Abstract

The Poisson-Nernst-Planck (PNP) system is a widely accepted model for simulation of ionic channels. In this paper, we design, analyze, and numerically validate a second order unconditional positivity-preserving scheme for solving a reduced PNP system, which can well approximate the three dimensional ion channel problem. Positivity of numerical solutions is proven to hold true independent of the size of time steps and the choice of the Poisson solver. The scheme is easy to implement without resorting to any iteration method. Several numerical examples further confirm the positivity-preserving property, and demonstrate the accuracy, efficiency, and robustness of the proposed scheme, as well as the fast approach to steady states.

You do not have full access to this article.

Already a Subscriber? Sign in as an individual or via your institution

Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/cicp.OA-2019-0063

Communications in Computational Physics, Vol. 27 (2020), Iss. 5 : pp. 1505–1529

Published online:    2020-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    25

Keywords:    Biological channels diffusion models ion transport positivity.

Author Details

Hailiang Liu

Wumaier Maimaitiyiming

  1. Positive and free energy satisfying schemes for diffusion with interaction potentials

    Liu, Hailiang | Maimaitiyiming, Wumaier

    Journal of Computational Physics, Vol. 419 (2020), Iss. P.109483

    https://doi.org/10.1016/j.jcp.2020.109483 [Citations: 5]
  2. A positivity-preserving, energy stable and convergent numerical scheme for the Poisson-Nernst-Planck system

    Liu, Chun | Wang, Cheng | Wise, Steven | Yue, Xingye | Zhou, Shenggao

    Mathematics of Computation, Vol. 90 (2021), Iss. 331 P.2071

    https://doi.org/10.1090/mcom/3642 [Citations: 45]
  3. An iteration solver for the Poisson–Nernst–Planck system and its convergence analysis

    Liu, Chun | Wang, Cheng | Wise, Steven M. | Yue, Xingye | Zhou, Shenggao

    Journal of Computational and Applied Mathematics, Vol. 406 (2022), Iss. P.114017

    https://doi.org/10.1016/j.cam.2021.114017 [Citations: 9]
  4. Fully decoupled and energy stable BDF schemes for a class of Keller-Segel equations

    Wang, Shufen | Zhou, Simin | Shi, Shuxun | Chen, Wenbin

    Journal of Computational Physics, Vol. 449 (2022), Iss. P.110799

    https://doi.org/10.1016/j.jcp.2021.110799 [Citations: 5]
  5. Positivity-preserving third order DG schemes for Poisson–Nernst–Planck equations

    Liu, Hailiang | Wang, Zhongming | Yin, Peimeng | Yu, Hui

    Journal of Computational Physics, Vol. 452 (2022), Iss. P.110777

    https://doi.org/10.1016/j.jcp.2021.110777 [Citations: 8]