cinola-binary-distribution

Binary distribution of CINOLA Spin Dynamics Simulation Software by Christian Schröder

https://github.com/s4b7r/cinola-binary-distribution

Science Score: 44.0%

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
  • Academic publication links
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (7.3%) to scientific vocabulary

Keywords

binary monte-carlo monte-carlo-simulation spin-dynamical-simulation spin-dynamics
Last synced: 4 months ago · JSON representation ·

Repository

Binary distribution of CINOLA Spin Dynamics Simulation Software by Christian Schröder

Basic Info
  • Host: GitHub
  • Owner: s4b7r
  • License: other
  • Default Branch: main
  • Homepage:
  • Size: 569 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 1
  • Releases: 0
Topics
binary monte-carlo monte-carlo-simulation spin-dynamical-simulation spin-dynamics
Created about 2 years ago · Last pushed almost 2 years ago
Metadata Files
Readme License Citation

README.md

CINOLA – Classical Spin Dynamics and Monte Carlo Simulations Software (binary distribution)

This software was originally developed by Prof. Dr. Christian Schröder (Bielefeld Institute for Applied Materials Research BIfAM, Hochschule Bielefeld, University of Applied Sciences and Arts) as part of his dissertation. It is further extended by himself and members of his working group "Computational Materials Science and Engineering".

This is the compiled binary distribution for use within pyiron and other workflow environments.

Target Platforms

Compiled binaries are provided to integrate CINOLA in workflows. We are happy to help, if there is not yet a binary for your platform: Ideally, just open an issue on GitHub. You can also send a mail to the repository owner.

| Platform | File | |-------------|----------------| | Windows x64 | CINOLA_x64.exe |

Citation & Attribution

If you use this software for an academic publication, please give proper attribution and citation: This can be done by citing the code directly with its original GitHub URL: https://github.com/s4b7r/CINOLA-binary-distribution

Owner

  • Name: Simon Bekemeier
  • Login: s4b7r
  • Kind: user
  • Location: Bielefeld, Germany
  • Company: Bielefeld University of Applied Sciences

Everything is learning

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Schröder"
  given-names: "Christian"
  orcid: "https://orcid.org/0000-0002-6391-6548"
- family-names: "Bekemeier"
  given-names: "Simon"
  orcid: "https://orcid.org/0000-0001-8736-8796"
title: "CINOLA - Classical Spin Dynamics for Core / Shell Particles (binary distribution)"
version: 0.0.1
date-released: 2023-10-13
url: "https://github.com/s4b7r/CINOLA-binary-distribution"

GitHub Events

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Last Year

Committers

Last synced: 10 months ago

All Time
  • Total Commits: 5
  • Total Committers: 1
  • Avg Commits per committer: 5.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 5
  • Committers: 1
  • Avg Commits per committer: 5.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Simon Bekemeier s****r@h****e 5
Committer Domains (Top 20 + Academic)
hsbi.de: 1

Issues and Pull Requests

Last synced: 7 months ago

All Time
  • Total issues: 1
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 1
  • Total pull request authors: 0
  • Average comments per issue: 0.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 1
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 1
  • Pull request authors: 0
  • Average comments per issue: 0.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • s4b7r (1)
Pull Request Authors
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