Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (4.3%) to scientific vocabulary
Last synced: 10 months ago
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Repository
ASMO - Atomistic Simulation Methods Ontology
Statistics
- Stars: 4
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 1
Created over 2 years ago
· Last pushed about 1 year ago
Metadata Files
Readme
License
Citation
README.md
Atomistic Simulation Methods Ontology (ASMO)
ASMO is an ontology that aims to define the concepts needed to describe commonly used atomic scale simulation methods, i.e. density functional theory, molecular dynamics, Monte Carlo methods, etc. ASMO uses the Provenance Ontology (PROV-O) to describe the simulation process.
- Documentation: https://ocdo.github.io/asmo/
Acknowledgement
This work is developed at the Materials Data Science and Informatics (IAS‑9), Forschungszentrum Jülich GmbH. Supported by the NFDI-MatWerk consortium (Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under the National Research Data Infrastructure – NFDI 38/1 – project number 460247524").
Owner
- Name: OCDO
- Login: OCDO
- Kind: organization
- Repositories: 1
- Profile: https://github.com/OCDO
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
cff-version: 1.2.0
title: 'OCDO/asmo: v0.0.1'
message: >-
Please cite this ontology using the metadata from
"preferred-citation".
type: software
authors:
- given-names: Abril
family-names: Azocar Guzman
orcid: 'https://orcid.org/0000-0001-7564-7990'
email: a.azocar.guzman@fz-juelich.de
affiliation: Forschungszentrum Juelich (FZJ)
identifiers:
- type: doi
value: 10.5281/zenodo.10805592
description: Version 0.0.1 of the ontology in Zenodo
- type: url
value: 'https://purls.helmholtz-metadaten.de/asmo'
description: Ontology IRI
repository-code: 'https://github.com/OCDO/asmo'
abstract: >-
Atomistic Simulation Methods Ontology (ASMO) is an ontology that aims to define the concepts needed to describe commonly used atomic scale simulation methods, i.e. density functional theory, molecular dynamics, Monte Carlo methods, etc. ASMO uses the Provenance Ontology (PROV-O) to describe the simulation process.
keywords:
- ontology
- computational materials science
- materials informatics
- semantics
- atomistic simulations
- density functional theory
- molecular dynamics
- simulation workflows
license: CC-BY-4.0
commit: efa1edc8b78f3655a5c3c005e38add5b763e4339
version: v0.0.1
date-released: '2024-03-11'
preferred-citation:
authors:
- family-names: Azocar Guzman
given-names: Abril
title: "Atomistic Simulation Methods Ontology (ASMO)"
type: generic
year: 2024
url: https://doi.org/10.5281/zenodo.10805591
GitHub Events
Total
- Issues event: 10
- Watch event: 3
- Delete event: 4
- Issue comment event: 6
- Push event: 19
- Pull request event: 6
- Create event: 1
Last Year
- Issues event: 10
- Watch event: 3
- Delete event: 4
- Issue comment event: 6
- Push event: 19
- Pull request event: 6
- Create event: 1
Issues and Pull Requests
Last synced: 10 months ago
All Time
- Total issues: 5
- Total pull requests: 2
- Average time to close issues: 4 months
- Average time to close pull requests: 3 days
- Total issue authors: 3
- Total pull request authors: 1
- Average comments per issue: 0.2
- Average comments per pull request: 0.0
- Merged pull requests: 2
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 3
- Pull requests: 2
- Average time to close issues: 6 minutes
- Average time to close pull requests: 3 days
- Issue authors: 2
- Pull request authors: 1
- Average comments per issue: 0.0
- Average comments per pull request: 0.0
- Merged pull requests: 2
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- aazocar (7)
- srmnitc (6)
- samwaseda (1)
Pull Request Authors
- aazocar (5)