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Condensed Matter > Superconductivity

arXiv:2302.03812 (cond-mat)
[Submitted on 8 Feb 2023]

Title:pyTDGL: Time-dependent Ginzburg-Landau in Python

Authors:Logan Bishop-Van Horn
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Abstract:Time-dependent Ginzburg-Landau (TDGL) theory is a phenomenological model for the dynamics of superconducting systems. Due to its simplicity in comparison to microscopic theories and its effectiveness in describing the observed properties of the superconducting state, TDGL is widely used to interpret or explain measurements of superconducting devices. Here, we introduce $\texttt{pyTDGL}$, a Python package that solves a generalized TDGL model for superconducting thin films of arbitrary geometry, enabling simulations of vortex and phase dynamics in mesoscopic superconducting devices. $\texttt{pyTDGL}$ can model the nonlinear magnetic response and dynamics of multiply connected films, films with multiple current bias terminals, and films with a spatially inhomogeneous critical temperature. We demonstrate these capabilities by modeling quasi-equilibrium vortex distributions in irregularly shaped films, and the dynamics and current-voltage-field characteristics of nanoscale superconducting quantum interference devices (nanoSQUIDs).
Comments: 14 pages, 6 figures, GitHub repository: this https URL , online documentation: this https URL
Subjects: Superconductivity (cond-mat.supr-con); Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
Cite as: arXiv:2302.03812 [cond-mat.supr-con]
  (or arXiv:2302.03812v1 [cond-mat.supr-con] for this version)
  https://doi.org/10.48550/arXiv.2302.03812
Related DOI: https://doi.org/10.1016/j.cpc.2023.108799

Submission history

From: Logan Bishop-Van Horn [view email]
[v1] Wed, 8 Feb 2023 00:35:30 UTC (2,439 KB)
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