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CederGroupHub / chgnet

Pretrained universal neural network potential for charge-informed atomistic modeling https://chgnet.lbl.gov
https://doi.org/10.1038/s42256-023-00716-3
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Make repo citable #70

Closed janosh closed 11 months ago

janosh commented 11 months ago

By adding citation.cff. Will show up in the side bar:

Screenshot 2023-09-16 at 12 08 51 PM

Sese https://github.com/materialsproject/pymatgen/commit/dfa4cdebdb1bc903dbd3958cffc1d194937ce877 for related pymatgen commit.

codacy-production[bot] commented 11 months ago

Coverage summary from Codacy

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Coverage variation Diff coverage
Report missing for 1c745b32b87948a5d615201347d79be5dc75651a[^1] ∅
Coverage variation details | | Coverable lines | Covered lines | Coverage | | ------------- | ------------- | ------------- | ------------- | | Common ancestor commit (1c745b32b87948a5d615201347d79be5dc75651a) | Report Missing | Report Missing | Report Missing | | | Head commit (4dad8b3f1db676db8bb8569eb4c88919abae8e94) | 1260 | 963 | 76.43% | **Coverage variation** is the difference between the coverage for the head and common ancestor commits of the pull request branch: ` - `
Diff coverage details | | Coverable lines | Covered lines | Diff coverage | | ------------- | ------------- | ------------- | ------------- | | Pull request (#70) | 0 | 0 | **∅ (not applicable)** | **Diff coverage** is the percentage of lines that are covered by tests out of the coverable lines that the pull request added or modified: `/ * 100%`

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[^1]: Codacy didn't receive coverage data for the commit, or there was an error processing the received data. Check your integration for errors and validate that your coverage setup is correct.