mammos-dft
Density functional theory (DFT) package for ab-initio calculations.
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Documentation
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Installation
To install mammos-dft, you can use pip install mammos-dft inside a Python environment.
For more details refer to the documentation.
How to cite
TODO
Acknowledgements
This software has been supported by the European Union’s Horizon Europe research and innovation programme under grant agreement No 101135546 MaMMoS.
Metadata
Release files for mammos-dft 0.5.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mammos_dft-0.5.0.tar.gz | 463.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mammos_dft-0.5.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 945.3 kB
Release files / mammos_dft-0.5.0.tar.gz
| Download URL | mammos_dft-0.5.0.tar.gz |
|---|---|
| Size | 463.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/6.1.0 CPython/3.13.7
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Transparency logRelease files / mammos_dft-0.5.0-py3-none-any.whl
| Download URL | mammos_dft-0.5.0-py3-none-any.whl |
|---|---|
| Size | 481.8 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? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
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PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
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