Geometric flows and surface PDEs
Mean curvature flow (MCF) | Forced mean curvature flow | Willmore flow |
Generalised mean curvature flow | MCF in in higher codimension | MCF–diffusion |
Numerical surgery for MCF |
PDEs with dynamic boundary conditions
Mean curvature flow
Numerical experiments for mean curvature flow algorithm from our paper.
A dumbbell-shaped surface developing a pinch singularity along the flow (with a zoom-in on the singularity).
Forced mean curvature flow
Numerical experiments for a tumour growth model using the algorithm from the paper (with two different reaction parameters \gamma = 30 and 300):
Willmore flow
Some numerical experiments for Willmore flow using the algorithm analysed in the paper.
- Topologically spherical objects are known to converge to a sphere, while minimising the Willmore energy (W(\Gamma) \to 8\pi).
- Surfaces of genus 1 are converging to a Clifford torus minimising the Willmore energy (W(\Gamma) \to 4\pi^2).
Generalised mean curvature flow
Numerical experiments for an algorithm for generalised mean curvature flows, i.e. the surface velocity is given by v = - V(H) \nu_\Gamma.
A non-convex dumbbell-shaped surface evolving towards a singularity along inverse mean curvature flow (V(H) = - 1 / H).
Mean curvature flow in higher codimension
Numerical experiments for an algorithm for mean curvature flow in codimension two.
A trefoil knot evolving under mean curvature flow in codimension 2.
Mean curvature flow interacting with diffusion
Numerical surgery for mean curvature flow
Inspired by surgery process of Huisken & Sinestrari and Brendle & Huisken, this paper proposes a numerical mean curvature flow algorithm with surgery for surfaces.
Resolving a pinch singularity of a dumbbell-shaped surface.
Cahn-Hilliard equation with dynamic boundary conditions
Numerical experiments for Cahn-Hilliard equation with dynmaic boundary conditions, with the algorithm from our paper.
An elliptically-shaped droplet evolving according to the GMS-model.