activity
20242026
collaborators

6 papers

math.NA2026

Arbitrary-order structure-preserving discretizations for geometric curvature flows

Ganghui Zhang, Boris D. Andrews, Patrick E. Farrell

Geometric flows, where an immersed manifold evolves in time according to its own geometry, exhibit important structural properties. For example, surface diffusion dissipates surfac…

math.NA2026

Global and local helicity-preservation in the finite element discretization of magnetic relaxation

Patrick E. Farrell, Mingdong He, Kaibo Hu +1

Magnetic relaxation drives plasma toward lower-energy equilibria under helicity constraints. In ideal magnetohydrodynamics (MHD), helicity is locally conserved, while resistive the…

math.NA2026

Finite element methods for isometric embedding of Riemannian manifolds

Guangwei Gao, Kaibo Hu, Buyang Li +1

The isometric embedding problem for Riemannian manifolds, which connects intrinsic and extrinsic geometry, is a central question in differential geometry with deep theoretical sign…

math.NA2025

Structure-preserving parametric finite element methods for two-phase Stokes flow based on Lagrange multiplier approaches

Harald Garcke, Dennis Trautwein, Ganghui Zhang

We present a novel formulation for parametric finite element methods to approximate two-phase Stokes flow. The new formulation is based on the classical Stokes equation in the bulk…

math.NA2025

Isoparametric finite element methods for mean curvature flow and surface diffusion

Harald Garcke, Robert Nürnberg, Simon Praetorius +1

We propose higher-order isoparametric finite element approximations for mean curvature flow and surface diffusion. The methods are natural extensions of the piecewise linear finite…

math.NA2024

Predictor-corrector, BGN-based parametric finite element methods for surface diffusion

Wei Jiang, Chunmei Su, Ganghui Zhang +1

We present a novel parametric finite element approach for simulating the surface diffusion of curves and surfaces. Our core strategy incorporates a predictor-corrector time-steppin…