A decoupling two-grid method for the time-dependent Poisson-Nernst-Planck equations

被引:12
作者
Shen, Ruigang [1 ]
Shu, Shi [2 ]
Yang, Ying [3 ]
Lu, Benzhuo [4 ]
机构
[1] Xiangtan Univ, Sch Math & Computat Sci, Xiangtan 411105, Peoples R China
[2] Xiangtan Univ, Hunan Key Lab Computat & Simulat Sci & Engn, Key Lab Intelligent Comp & Informat Proc, Minist Educ, Xiangtan 411105, Peoples R China
[3] Guilin Univ Elect Technol, Sch Math & Computat Sci, Guangxi Coll & Univ Key Lab Data Anal & Computat, Guilin 541004, Peoples R China
[4] Chinese Acad Sci, Inst Computat Math & Sci Eng Comp, Natl Ctr Math & Interdisciplinary Sci, LSEC,Acad Math & Syst Sci, Beijing 100190, Peoples R China
关键词
Poisson-Nernst-Planck equations; Decoupling method; Two-grid method; Semi-discretization; Full discretization; Optimal error estimate; Gummel iteration; MIXED FINITE-ELEMENT; DIFFERENCE SCHEME; MODEL; ACETYLCHOLINESTERASE; SYSTEMS;
D O I
10.1007/s11075-019-00744-4
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We study a two-grid strategy for decoupling the time-dependent Poisson-Nernst-Planck equations describing the mass concentration of ions and the electrostatic potential. The computational system is decoupled to smaller systems by using coarse space solutions at each time level, which can speed up the solution process compared with the finite element method combined with the Gummel iteration. We derive the optimal error estimates in L-2 norm for both semi- and fully discrete finite element approximations. Based on the a priori error estimates, the error estimates in H-1 norm are presented for the two-grid algorithm. The theoretical results indicate this decoupling method can retain the same accuracy as the finite element method. Numerical experiments including the Poisson-Nernst-Planck equations for an ion channel show the efficiency and effectiveness of the decoupling two-grid method.
引用
收藏
页码:1613 / 1651
页数:39
相关论文
共 50 条
  • [41] Second-order, positive, and unconditional energy dissipative scheme for modified Poisson-Nernst-Planck equations
    Ding, Jie
    Zhou, Shenggao
    JOURNAL OF COMPUTATIONAL PHYSICS, 2024, 510
  • [42] Two-grid finite volume element method for the time-dependent Schrodinger equation
    Chen, Chuanjun
    Lou, Yuzhi
    Hu, Hanzhang
    COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2022, 108 : 185 - 195
  • [43] Endpoint bilinear estimates and applications to the two-dimensional Poisson-Nernst-Planck system
    Deng, Chao
    Li, Congming
    NONLINEARITY, 2013, 26 (11) : 2993 - 3009
  • [44] Near- and far-field expansions for stationary solutions of Poisson-Nernst-Planck equations
    Lyu, Jhih-Hong
    Lee, Chiun-Chang
    Lin, Tai-Chia
    MATHEMATICAL METHODS IN THE APPLIED SCIENCES, 2021, 44 (13) : 10837 - 10860
  • [45] Two-grid method for the two-dimensional time-dependent Schrodinger equation by the finite element method
    Tian, Zhikun
    Chen, Yanping
    Huang, Yunqing
    Wang, Jianyun
    COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2019, 77 (12) : 3043 - 3053
  • [46] High-order space-time finite element methods for the Poisson-Nernst-Planck equations: Positivity and unconditional energy stability?
    Fu, Guosheng
    Xu, Zhiliang
    COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2022, 395
  • [47] Primal-mixed finite element methods for the coupled Biot and Poisson-Nernst-Planck equations
    Gatica, Gabriel N.
    Inzunza, Cristian
    Ruiz-Baier, Ricardo
    COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2025, 186 : 53 - 83
  • [48] Nano-scale solution of the Poisson-Nernst-Planck (PNP) equations in a fraction of two neighboring cells reveals the magnitude of intercellular electrochemical waves
    Jaeger, Karoline Horgmo
    Ivanovic, Ena
    Kucera, Jan P.
    Tveito, Aslak
    PLOS COMPUTATIONAL BIOLOGY, 2023, 19 (02)
  • [49] Hysteresis and linear stability analysis on multiple steady-state solutions to the Poisson-Nernst-Planck equations with steric interactions
    Ding, Jie
    Sun, Hui
    Zhou, Shenggao
    PHYSICAL REVIEW E, 2020, 102 (05)
  • [50] Global existence and temporal decay of large solutions for the Poisson-Nernst-Planck equations in low regularity spaces
    Zhao, Jihong
    Liu, Xilan
    MATHEMATICAL METHODS IN THE APPLIED SCIENCES, 2023, 46 (02) : 1667 - 1686