2022
DOI: 10.48550/arxiv.2207.02455
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Optimal error estimates of coupled and divergence-free virtual element methods for the Poisson--Nernst--Planck/Navier--Stokes equations

Abstract: In this article, we propose and analyze a fully coupled, nonlinear, and energy-stable virtual element method (VEM) for solving the coupled Poisson-Nernst-Planck (PNP) and Navier-Stokes (NS) equations modeling microfluidic and electrochemical systems (diffuse transport of charged species within incompressible fluids coupled through electrostatic forces). A mixed VEM is employed to discretize the NS equations whereas classical VEM in primal form is used to discretize the PNP equations. The stability, existence a… Show more

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Cited by 2 publications
(2 citation statements)
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“…Recently, we note that a fully coupled and energy-stable VEM was proposed and analyzed for the coupled PNP and Navier-Stokes equations in [21], (the preprint of which was submitted to arXiv at a similar time as ours, see [20,50]). The existence and uniqueness of the virtual element approximation are presented and the optimal error estimates are derived for fully discrete scheme in the L 2 and H 1 norms, respectively.…”
Section: Introductionmentioning
confidence: 98%
“…Recently, we note that a fully coupled and energy-stable VEM was proposed and analyzed for the coupled PNP and Navier-Stokes equations in [21], (the preprint of which was submitted to arXiv at a similar time as ours, see [20,50]). The existence and uniqueness of the virtual element approximation are presented and the optimal error estimates are derived for fully discrete scheme in the L 2 and H 1 norms, respectively.…”
Section: Introductionmentioning
confidence: 98%
“…We build upon our previous work on a finite elements based framework for solving the NS and PNP equations [30]. Finite element approaches have been successfully applied for high-resolution simulations of NS (See [31] for an overview) and PNP [32][33][34][35][36][37][38][39][40] equations. They are well suited for the NS-PNP system of equations due to (a) the use of a variational formulation that allows the weakening of derivatives, (b) the natural incorporation of heterogeneous and mixed boundary conditions often seen in these systems, and (c) ability to construct rigorous a posteriori error estimates for mesh adaptivity that enable substantial computational gains away from the EDLs.…”
Section: Introductionmentioning
confidence: 99%