Science Score: 57.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 2 DOI reference(s) in README
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (2.9%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: nanogunecic09
  • License: gpl-3.0
  • Language: Python
  • Default Branch: main
  • Size: 21.7 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 2 years ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation

README.md

Authors: Stefano Trivini, Jon Ortuzar Andres

The aim of this package is the calculation of the local density of states (LDOS) of magnetic impurities interacting with superconductors. The model is a standard Green function model able to deal with anisotropic Fermi surfaces. See this paper for details on the model.

To start using this package check the documentation

Owner

  • Login: nanogunecic09
  • Kind: user

Please read the tutorial on OneNote General/IT

Citation (CITATION.cff)

@software{green-ysr,
  author = {Stefano Trivini, Jon Ortuzar},
  title = {{green-ysr}},
  url = {https://github.com/nanogunecic09/green-ysr},
  version = {0.0.4},
  year = {2024}
}

GitHub Events

Total
  • Push event: 6
Last Year
  • Push event: 6

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 10 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 8
  • Total maintainers: 1
pypi.org: green-ysr

Green function model to calculate LDOS of multiple YSR impurites

  • Versions: 8
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 10 Last month
Rankings
Dependent packages count: 9.6%
Average: 36.6%
Dependent repos count: 63.7%
Maintainers (1)
Last synced: 10 months ago

Dependencies

green_ysr/pyproject.toml pypi
  • python ^3.9