Spectral methods for the Navier-Stokes equations with one infinite and two periodic directions
Journal of Computational Physics
High-kappa limits of the time-dependent Ginzburg-Landau model
SIAM Journal on Applied Mathematics
Sobolev Gradients and the Ginzburg--Landau Functional
SIAM Journal on Scientific Computing
Finite Element Method for Elliptic Problems
Finite Element Method for Elliptic Problems
SIAM Journal on Scientific Computing
Ground-state solution of Bose--Einstein condensate by directly minimizing the energy functional
Journal of Computational Physics
Computing the Ground State Solution of Bose--Einstein Condensates by a Normalized Gradient Flow
SIAM Journal on Scientific Computing
Journal of Computational Physics
Journal of Computational Physics
Energy minimization related to the nonlinear Schrödinger equation
Journal of Computational Physics
Numerical exploration of vortex matter in Bose-Einstein condensates
Mathematics and Computers in Simulation
Journal of Computational Physics
A New Sobolev Gradient Method for Direct Minimization of the Gross-Pitaevskii Energy with Rotation
SIAM Journal on Scientific Computing
Journal of Computational Physics
Journal of Computational Physics
Hi-index | 31.46 |
Numerical computations of stationary states of fast-rotating Bose-Einstein condensates require high spatial resolution due to the presence of a large number of quantized vortices. In this paper we propose a low-order finite element method with mesh adaptivity by metric control, as an alternative approach to the commonly used high-order (finite difference or spectral) approximation methods. The mesh adaptivity is used with two different numerical algorithms to compute stationary vortex states: an imaginary time propagation method and a Sobolev gradient descent method. We first address the basic issue of the choice of the variable used to compute new metrics for the mesh adaptivity and show that refinement using simultaneously the real and imaginary part of the solution is successful. Mesh refinement using only the modulus of the solution as adaptivity variable fails for complicated test cases. Then we suggest an optimized algorithm for adapting the mesh during the evolution of the solution towards the equilibrium state. Considerable computational time saving is obtained compared to uniform mesh computations. The new method is applied to compute difficult cases relevant for physical experiments (large nonlinear interaction constant and high rotation rates).