hydrogen-local-energetics
This lightweight Python package regenerates the manuscript figures from the publicly archived Hydrogen Local Energetics dataset. The DFT, MD and machine-learning-potential result data are preserved separately on Zenodo and are not bundled in the wheel.
Installation
python -m pip install hydrogen-local-energetics
Data
Download and extract the archived dataset from https://doi.org/10.5281/zenodo.22090127.
Reproduce the figures
hle-figures "C:\path\to\extracted_archive" --output-dir "C:\path\to\figures"
The command accepts either the extracted archive root or its data directory and writes editable SVG and high-resolution PNG files to the selected output directory.
Scope
The package reproduces figures from archived numerical results. It does not redistribute MACE-OMat-0 or CHGNet model weights and does not rerun DFT, NEB or molecular-dynamics calculations.
Citation
Please cite the associated article and the archived dataset: https://doi.org/10.5281/zenodo.22090127.
Metadata
Release files for hydrogen-local-energetics 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| hydrogen_local_energetics-0.1.0.tar.gz | 34.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| hydrogen_local_energetics-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 69.7 kB
Release files / hydrogen_local_energetics-0.1.0.tar.gz
| Download URL | hydrogen_local_energetics-0.1.0.tar.gz |
|---|---|
| Size | 34.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.9
|
Release files / hydrogen_local_energetics-0.1.0-py3-none-any.whl
| Download URL | hydrogen_local_energetics-0.1.0-py3-none-any.whl |
|---|---|
| Size | 35.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.9
|