Variational algorithms and pattern formation in dendritic solidification
Journal of Computational Physics
Modeling crystal growth in a diffusion field using fully faceted interfaces
Journal of Computational Physics
A front-tracking method for dendritic solidification
Journal of Computational Physics
Computation of three dimensional dendrites with finite elements
Journal of Computational Physics
An efficient boundary integral method for the Mullins-Sekerka problem
Journal of Computational Physics
Algorithm 832: UMFPACK V4.3---an unsymmetric-pattern multifrontal method
ACM Transactions on Mathematical Software (TOMS)
Algorithm 837: AMD, an approximate minimum degree ordering algorithm
ACM Transactions on Mathematical Software (TOMS)
Algorithm 849: A concise sparse Cholesky factorization package
ACM Transactions on Mathematical Software (TOMS)
A parametric finite element method for fourth order geometric evolution equations
Journal of Computational Physics
On the parametric finite element approximation of evolving hypersurfaces in R3
Journal of Computational Physics
Finite Element Approximation of a Three Dimensional Phase Field Model for Void Electromigration
Journal of Scientific Computing
Removing the stiffness from interfacial flows with surface tension
Journal of Computational Physics
Hi-index | 31.45 |
We introduce a parametric finite element approximation for the Stefan problem with the Gibbs-Thomson law and kinetic undercooling, which mimics the underlying energy structure of the problem. The proposed method is also applicable to certain quasi-stationary variants, such as the Mullins-Sekerka problem. In addition, fully anisotropic energies are easily handled. The approximation has good mesh properties, leading to a well-conditioned discretization, even in three space dimensions. Several numerical computations, including for dendritic growth and for snow crystal growth, are presented.