Decoupled, linear, unconditionally energy stable and charge-conservative finite element method for a inductionless magnetohydrodynamic phase-field model
Xiaorong Wang, Xiaodi Zhang

TL;DR
This paper introduces a novel linear, decoupled finite element method for a complex inductionless magnetohydrodynamics phase-field model, ensuring energy stability and charge conservation, with demonstrated accuracy and efficiency.
Contribution
The paper presents a new linear, decoupled finite element scheme that is unconditionally energy stable and charge-conservative for a multi-physics MHD phase-field model.
Findings
The scheme is unconditionally energy stable.
It conserves mass and charge.
Numerical experiments confirm accuracy and efficiency.
Abstract
In this paper, we consider the numerical approximation for a diffuse interface model of the two-phase incompressible inductionless magnetohydrodynamics problem. This model consists of Cahn-Hilliard equations, Navier-Stokes equations and Poisson equation. We propose a linear and decoupled finite element method to solve this highly nonlinear and multi-physics system. For the time variable, the discretization is a combination of first-order Euler semi-implicit scheme, several first-order stabilization terms and implicit-explicit treatments for coupling terms. For the space variables, we adopt the finite element discretization, especially, we approximate the current density and electric potential by inf-sup stable face-volume mixed finite element pairs. With these techniques, the scheme only involves a sequence of decoupled linear equations to solve at each time step. We show that the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSolidification and crystal growth phenomena · Advanced Numerical Methods in Computational Mathematics · Differential Equations and Numerical Methods
