https://github.com/chem-william/tom_paper
Scripts for the paper "Trusting our Machines: Validating Machine Learning Models in Molecular Electronics"
Science Score: 26.0%
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
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✓DOI references
Found 3 DOI reference(s) in README -
○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 (3.9%) to scientific vocabulary
Repository
Scripts for the paper "Trusting our Machines: Validating Machine Learning Models in Molecular Electronics"
Basic Info
- Host: GitHub
- Owner: chem-william
- License: mit
- Language: Jupyter Notebook
- Default Branch: main
- Size: 5.26 MB
Statistics
- Stars: 4
- Watchers: 1
- Forks: 3
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
TOM_paper
Scripts for the paper "Trusting our Machines: Validating Machine Learning Models in Molecular Electronics". DOI: 10.1039/D1CS00884F
Please cite that paper if anything in this repo proves useful in your own work :-)
Due to the size limits on Github, we have uploaded the datasets to Electronic Research Data Archive (ERDA) at University of Copenhagen. They are available here: https://sid.erda.dk/cgi-sid/ls.py?share_id=A2ZlEW4jZW
Owner
- Name: William Bro-Jørgensen
- Login: chem-william
- Kind: user
- Company: University of Copenhagen
- Repositories: 26
- Profile: https://github.com/chem-william
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