TY - JOUR
T1 - An efficient iterative method for dynamical Ginzburg-Landau equations
AU - Hong, Qingguo
AU - Ma, Limin
AU - Xu, Jinchao
AU - Chen, Longqing
N1 - Generated from Scopus record by KAUST IRTS on 2023-02-15
PY - 2023/2/1
Y1 - 2023/2/1
N2 - In this paper, we propose a new finite element approach to simulate the time-dependent Ginzburg-Landau equations under the temporal gauge, and design an efficient preconditioner for the Newton iteration of the resulting discrete system. The new approach solves the magnetic potential in H(curl) space by the lowest order of the second kind Nédélec element. This approach offers a simple way to deal with the boundary condition, and leads to a stable and reliable performance when dealing with the superconductor with reentrant corners. The comparison in numerical simulations verifies the efficiency of the proposed preconditioner, which can significantly speed up the simulation in large-scale computations.
AB - In this paper, we propose a new finite element approach to simulate the time-dependent Ginzburg-Landau equations under the temporal gauge, and design an efficient preconditioner for the Newton iteration of the resulting discrete system. The new approach solves the magnetic potential in H(curl) space by the lowest order of the second kind Nédélec element. This approach offers a simple way to deal with the boundary condition, and leads to a stable and reliable performance when dealing with the superconductor with reentrant corners. The comparison in numerical simulations verifies the efficiency of the proposed preconditioner, which can significantly speed up the simulation in large-scale computations.
UR - https://linkinghub.elsevier.com/retrieve/pii/S0021999122008579
UR - http://www.scopus.com/inward/record.url?scp=85143875175&partnerID=8YFLogxK
U2 - 10.1016/j.jcp.2022.111794
DO - 10.1016/j.jcp.2022.111794
M3 - Article
SN - 1090-2716
VL - 474
JO - Journal of Computational Physics
JF - Journal of Computational Physics
ER -