Statistical mechanical models for crack growth.
Installation
The package can be installed using pip via the Python Package Index (PyPI),
pip install statmechcrack
or using conda via the mrbuche channel on Anaconda,
conda install --channel mrbuche statmechcrack
Any installation is tested by executing python -m statmechcrack.tests.
Citation
M. R. Buche and S. J. Grutzik, statMechCrack: statistical mechanical models for crack growth, Zenodo (2023).
Copyright
Copyright 2022 National Technology & Engineering Solutions of Sandia, LLC (NTESS). Under the terms of Contract DE-NA0003525 with NTESS, the U.S. Government retains certain rights in this software.
Metadata
Release files for statmechcrack 0.7.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| statmechcrack-0.7.1.tar.gz | 25.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| statmechcrack-0.7.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 58.9 kB
Release files / statmechcrack-0.7.1.tar.gz
| Download URL | statmechcrack-0.7.1.tar.gz |
|---|---|
| Size | 25.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
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twine/5.0.0 CPython/3.10.12
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Release files / statmechcrack-0.7.1-py3-none-any.whl
| Download URL | statmechcrack-0.7.1-py3-none-any.whl |
|---|---|
| Size | 33.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/5.0.0 CPython/3.10.12
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