# tce-lib
[](https://muexly.github.io/tce-lib)
[](https://pypi.org/project/tce-lib/)
[](https://en.wikipedia.org/wiki/MIT_License)
[](https://github.com/astral-sh/ruff)
[](https://mypy-lang.org/)
[](https://docs.pytest.org/en/stable/)
<img src="https://raw.githubusercontent.com/MUEXLY/tce-lib/refs/heads/main/assets/logo.png" alt="tce-lib logo" style="width:50%;height:auto;">
## 🔎 What is tce-lib?
`tce-lib` is a library for creating and deploying tensor cluster expansion models of concentrated alloys following
our work on [arXiv](https://arxiv.org/abs/2509.04686). The core philosophy of `tce-lib` is to respect the
[strategy pattern](https://en.wikipedia.org/wiki/Strategy_pattern) as core to the library's functionality. This design
pattern stages workflows as sequences of strategies, of which the user can override each. This allows for the majority
of users to plug-and-play for an ordinary workflow, while still supporting fine-grained autonomy for more advanced
users.
## 📩 Installation
`tce-lib` is installable via the Python Package Index:
```shell
pip install tce-lib
```
or, from source:
```shell
git clone https://github.com/MUEXLY/tce-lib
pip install -e tce-lib/
```
## 📌 Citation
Please cite our work [here](https://arxiv.org/abs/2509.04686) if you use `tce-lib` in your work.
## 💙 Acknowledgements
Authors acknowledge support from the U.S. Department of Energy, Office of Basic Energy Sciences, Materials Science and Engineering Division under Award No. DE-SC0022980.
## 🐝 Found a bug?
Please open an issue [here](https://github.com/MUEXLY/tce/issues), with a description of the issue and a [minimal, reproducible example](https://stackoverflow.com/help/minimal-reproducible-example) of the issue.
## 📑 License
`tce-lib` is released under the MIT license.
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