kawin
Python implementation of the Kampmann-Wagner Numerical (KWN) model to predict precipitate nucleation and growth behavior. This package couples with pycalphad to perform thermodynamic and kinetic calculations.
Notes
There has been a lot of changes in the API. Please check the examples for further details. If you still have issues setting up a simulation, feel free to open an issue.
Installation
Installing through pip:
pip install kawin
Development version:
git clone https://github.com/materialsgenomefoundation/kawin
cd kawin
pip install -e .
Examples
Examples on Jupyter notebooks can be found on NBViewer.
Dependencies
numpy, scipy, matplotlib, pycalphad
Metadata
Release files for kawin 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 | |
|---|---|---|---|
| kawin-0.5.0.tar.gz | 2.6 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| kawin-0.5.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.9 MB
Release files / kawin-0.5.0.tar.gz
| Download URL | kawin-0.5.0.tar.gz |
|---|---|
| Size | 2.6 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/6.2.0 CPython/3.13.12
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Release files / kawin-0.5.0-py3-none-any.whl
| Download URL | kawin-0.5.0-py3-none-any.whl |
|---|---|
| Size | 249.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.12
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