pyTDGL
Time-dependent Ginzburg-Landau in Python
Motivation
pyTDGL solves a 2D generalized time-dependent Ginzburg-Landau (TDGL) equation, enabling simulations of vortex and phase dynamics in thin film superconducting devices.
Learn pyTDGL
The documentation for pyTDGL can be found at py-tdgl.readthedocs.io.
Try pyTDGL
Click the badge below and navigate to docs/notebooks/ to try pyTDGL interactively online via Binder
Acknowledgments
Parts of this package have been adapted from SuperDetectorPy, a GitHub repo authored by Mattias Jönsson. Both SuperDetectorPy and py-tdgl are released under the open-source MIT License. If you use either package in an academic publication or similar, please consider citing the following:
- Mattias Jönsson, Theory for superconducting few-photon detectors (Doctoral dissertation), KTH Royal Institute of Technology (2022) (Link)
- Mattias Jönsson, Robert Vedin, Samuel Gyger, James A. Sutton, Stephan Steinhauer, Val Zwiller, Mats Wallin, Jack Lidmar, Current crowding in nanoscale superconductors within the Ginzburg-Landau model, Phys. Rev. Applied 17, 064046 (2022) (Link)
The user interface is adapted from SuperScreen.
1 maintainer
Metadata
1 maintainer
Release files for tdgl 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| tdgl-0.1.1.tar.gz | 83.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tdgl-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 181.2 kB
Release files / tdgl-0.1.1.tar.gz
| Download URL | tdgl-0.1.1.tar.gz |
|---|---|
| Size | 83.3 kB |
| Tags | Source |
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Release files / tdgl-0.1.1-py3-none-any.whl
| Download URL | tdgl-0.1.1-py3-none-any.whl |
|---|---|
| Size | 97.8 kB |
| Tags | Python 3 |
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