A Structure-Preserving Scheme for the Time-Dependent Ginzburg-Landau Model with BCS Gap Coupling
Boyi Wang, Saurav Shenoy, Daniel Fortino, Long-Qing Chen, Wenrui Hao
TL;DR
This work develops a structure-preserving implicit–explicit scheme for a hybrid time-dependent Ginzburg–Landau model that incorporates a nonlinear BCS gap coupling, enabling stable, long-time simulations beyond the near-critical regime. By nondimensionalizing the coupled TDGL–BCS system and deriving a maximum modulus-preserving, energy-stable IMEX method, the authors ensure physical consistency under gauge constraints and external magnetic fields. Formal asymptotics connect the model to the classical TDGL equation as $T\to T_c$, and numerical experiments in 2D and 3D demonstrate accurate vortex formation, alignment, and superconductivity suppression under increasing fields, including effects of inhomogeneity. The proposed framework offers a robust tool for exploring vortex dynamics in superconductors across a broad temperature range with reliable stability guarantees.
Abstract
We propose a structure-preserving scheme for a hybrid model that couples the time-dependent Ginzburg-Landau (TDGL) equation of superconducting vortex dynamics and the nonlinear Bardeen-Cooper-Schrieffer (BCS) gap equation. This formulation is consistent with the classical TDGL equation in the near-critical temperature, while extending the applicability of the existing TDGL model to regimes beyond the critical temperature. The resulting system poses significant computational challenges due to its nonlinear and coupled structure. To achieve stable and reliable simulations of the vortex dynamics and accompanying morphological transitions, we develop a maximum bound preserving, energy-stable implicit-explicit (IMEX) scheme. The structure-preserving properties of the scheme are rigorously established, ensuring long-time stability and physical consistency. Through two- and three-dimensional simulations, the hybrid model successfully captures the temporal and spatial formation and alignment of vortices and the suppression of superconductivity under increasing magnetic fields, demonstrating both the accuracy and robustness of the proposed computational approach.
