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pyTDGL: Time-dependent Ginzburg-Landau in Python

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Mendeley Data2024-06-25 更新2024-06-28 收录
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资源简介:
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 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. 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).
创建时间:
2024-01-23
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背景概述
pyTDGL是一个Python软件包,用于解决任意几何形状超导薄膜的时间依赖Ginzburg-Landau(TDGL)模型,支持模拟涡旋和相位动力学。该数据集发布于2023年,适用于研究超导器件的非线性磁响应和动力学特性。
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