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 experiments for an algorithm for the interaction of mean curvature flow and diffusion on closed surfaces. This model was first developed and studied by Bürger (University of Regensburg).

Mean curvature flow interacting with diffusion on an elongated ellipsoid.

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.