A structure-preserving discontinuous Galerkin scheme for the Cahn-Hilliard equation including time adaptivity
Golo A. Wimmer, Ben S. Southworth, Qi Tang

TL;DR
This paper introduces a new discontinuous Galerkin scheme for the Cahn-Hilliard equation that preserves structural properties, incorporates adaptive time stepping, and demonstrates robustness and efficiency through numerical tests.
Contribution
A novel structure-preserving spatial discretization combined with adaptive time stepping for the Cahn-Hilliard equation, including transport, with a robust preconditioning strategy.
Findings
Scheme accurately preserves mass and energy dissipation.
Method demonstrates robustness in advection-dominated scenarios.
Numerical tests confirm efficiency and stability of the approach.
Abstract
We present a novel spatial discretization for the Cahn-Hilliard equation including transport. The method is given by a mixed discretization for the two elliptic operators, with the phase field and chemical potential discretized in discontinuous Galerkin spaces, and two auxiliary flux variables discretized in a divergence-conforming space. This allows for the use of an upwind-stabilized discretization for the transport term, while still ensuring a consistent treatment of structural properties including mass conservation and energy dissipation. Further, we couple the novel spatial discretization to an adaptive time stepping method in view of the Cahn-Hilliard equation's distinct slow and fast time scale dynamics. The resulting implicit stages are solved with a robust preconditioning strategy, which is derived for our novel spatial discretization based on an existing one for continuous…
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 Mathematical Modeling in Engineering · Advanced Numerical Methods in Computational Mathematics
