Moving mesh partial differential equations (MMPDES) based on the equidistribution principle
SIAM Journal on Numerical Analysis
Journal of Computational Physics
SIAM Journal on Scientific Computing
A Posteriori Error Estimates Based on the Polynomial Preserving Recovery
SIAM Journal on Numerical Analysis
A New Finite Element Gradient Recovery Method: Superconvergence Property
SIAM Journal on Scientific Computing
On Multi-Mesh H-Adaptive Methods
Journal of Scientific Computing
Finite element approach for density functional theory calculations on locally-refined meshes
Journal of Computational Physics
Can We Have Superconvergent Gradient Recovery Under Adaptive Meshes?
SIAM Journal on Numerical Analysis
Block Locally Optimal Preconditioned Eigenvalue Xolvers (BLOPEX) in Hypre and PETSc
SIAM Journal on Scientific Computing
KSSOLV—a MATLAB toolbox for solving the Kohn-Sham equations
ACM Transactions on Mathematical Software (TOMS)
Journal of Computational Physics
An adaptive finite volume method for 2D steady Euler equations with WENO reconstruction
Journal of Computational Physics
Hi-index | 31.45 |
In this paper, a framework of using h-adaptive finite element method for the Kohn-Sham equation on the tetrahedron mesh is presented. The Kohn-Sham equation is discretized by the finite element method, and the h-adaptive technique is adopted to optimize the accuracy and the efficiency of the algorithm. The locally optimal block preconditioned conjugate gradient method is employed for solving the generalized eigenvalue problem, and an algebraic multigrid preconditioner is used to accelerate the solver. A variety of numerical experiments demonstrate the effectiveness of our algorithm for both the all-electron and the pseudo-potential calculations.