A second-order accurate, positivity-preserving numerical scheme for the Poisson–Nernst–Planck–Navier–Stokes system

Abstract In this paper we propose and analyse a second-order accurate (in both time and space) numerical scheme for the Poisson–Nernst–Planck–Navier–Stokes system, which describes the ion electro-diffusion in fluids. In particular, the Poisson–Nernst–Planck (PNP) equation is reformulated as a nonconstant mobility gradient flow in the energetic variational approach. The marker and cell finite difference method is chosen as the spatial discretization, which facilitates the analysis for the fluid part. In the temporal discretization the mobility function is computed by a second-order extrapolation formula for the sake of unique solvability analysis, while a modified Crank–Nicolson approximation is applied to the singular logarithmic nonlinear term. Nonlinear artificial regularization terms are added in the chemical potential part, so that the positivity-preserving property could be theoretically proved. Meanwhile, a second-order accurate, semi-implicit approximation is applied to the convective term in the PNP evolutionary equation, and the fluid momentum equation is similarly computed. In addition, an optimal rate convergence analysis is provided, based on the higher order asymptotic expansion for the numerical solution, and the rough and refined error estimate techniques. The following combined theoretical properties have been established for the second-order accurate numerical method: (i) second-order accuracy, (ii) unique solvability and positivity, (iii) total energy stability and (iv) optimal rate convergence. A few numerical results are displayed to validate the theoretical analysis.

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Publication Details

Journal
IMA Journal of Numerical Analysis
Published
2025-05-28
DOI
https://doi.org/10.1093/imanum/draf027
Citations
1
Primary Topic
Fluid Dynamics and Turbulent Flows
Type
article
Field-Weighted Citation Impact
1.33

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article

A second-order accurate, positivity-preserving numerical scheme for the Poisson–Nernst–Planck–Navier–Stokes system

Yuzhe Qin, Cheng Wang
1 citations
IMA Journal of Numerical Analysis
Fluid Dynamics and Turbulent Flows
1.33
article

A second-order accurate, positivity-preserving numerical scheme for the Poisson–Nernst–Planck–Navier–Stokes system

Yuzhe Qin, Cheng Wang
article en
1 citations

Abstract

Abstract In this paper we propose and analyse a second-order accurate (in both time and space) numerical scheme for the Poisson–Nernst–Planck–Navier–Stokes system, which describes the ion electro-diffusion in fluids. In particular, the Poisson–Nernst–Planck (PNP) equation is reformulated as a nonconstant mobility gradient flow in the energetic variational approach. The marker and cell finite difference method is chosen as the spatial discretization, which facilitates the analysis for the fluid part. In the temporal discretization the mobility function is computed by a second-order extrapolation formula for the sake of unique solvability analysis, while a modified Crank–Nicolson approximation is applied to the singular logarithmic nonlinear term. Nonlinear artificial regularization terms are added in the chemical potential part, so that the positivity-preserving property could be theoretically proved. Meanwhile, a second-order accurate, semi-implicit approximation is applied to the convective term in the PNP evolutionary equation, and the fluid momentum equation is similarly computed. In addition, an optimal rate convergence analysis is provided, based on the higher order asymptotic expansion for the numerical solution, and the rough and refined error estimate techniques. The following combined theoretical properties have been established for the second-order accurate numerical method: (i) second-order accuracy, (ii) unique solvability and positivity, (iii) total energy stability and (iv) optimal rate convergence. A few numerical results are displayed to validate the theoretical analysis.

IMA Journal of Numerical Analysis
University of Massachusetts Dartmouth (US), Shanxi University (CN)
National Science Foundation, National Natural Science Foundation of China, Natural Science Foundation of Shanxi Province
Openalex Percentile: Top 23%
Fluid Dynamics and Turbulent Flows
1.33
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