Bodge: Python package for efficient tight-binding modeling of superconducting nanostructures

Python Submitted 12 July 2024Published 09 October 2024
Review

Editor: @phibeck (all papers)
Reviewers: @yw-fang (all reviews), @mdavezac (all reviews)

Authors

Jabir Ali Ouassou (0000-0002-3725-0885)

Citation

Ouassou, J. A., (2024). Bodge: Python package for efficient tight-binding modeling of superconducting nanostructures. Journal of Open Source Software, 9(102), 7134, https://doi.org/10.21105/joss.07134

@article{Ouassou2024, doi = {10.21105/joss.07134}, url = {https://doi.org/10.21105/joss.07134}, year = {2024}, publisher = {The Open Journal}, volume = {9}, number = {102}, pages = {7134}, author = {Jabir Ali Ouassou}, title = {Bodge: Python package for efficient tight-binding modeling of superconducting nanostructures}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

python numerical physics condensed matter physics tight-binding models superconductivity sparse matrices bdg equations

Altmetrics
Markdown badge

 

License

Authors of JOSS papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066