Science Score: 36.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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✓Academic publication links
Links to: zenodo.org -
○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 (7.7%) to scientific vocabulary
Last synced: 10 months ago
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JSON representation
Repository
Basic Info
- Host: GitHub
- Owner: QMCTorch
- License: apache-2.0
- Language: Python
- Default Branch: master
- Homepage: https://qmcblip.readthedocs.io/
- Size: 5.07 MB
Statistics
- Stars: 1
- Watchers: 4
- Forks: 0
- Open Issues: 4
- Releases: 5
Created over 4 years ago
· Last pushed about 4 years ago
Metadata Files
Readme
License
Citation
README.md
QMCblip
QMC Based Learning of Interatomic Potentials
Installation
You can install this package by cloning this repository:
git clone https://github.com/NLESC-JCER/QMCblip.git
cd QMCblip
pip install .
or by installing it from Pypi:
pip install qmcblip
Documentation
The documentation of this code can be found on https://qmcblip.readthedocs.io/.
Owner
- Name: QMCTorch
- Login: QMCTorch
- Kind: organization
- Repositories: 1
- Profile: https://github.com/QMCTorch
GitHub Events
Total
Last Year
Dependencies
docs/requirements.txt
pypi
- ase ==3.22.1
- mir-flare ==0.2.4
- numpy ==1.20.3
- periodictable ==1.6.0
- pydantic ==1.9.0
- sgdml ==0.4.10
requirements.txt
pypi
- ase ==3.22.1
- flare-pp ==0.1.1
- matplotlib ==3.1.2
- mir-flare ==0.2.4
- numpy ==1.20.3
- periodictable ==1.6.0
- pydantic ==1.9.0
- sgdml ==0.4.10