https://github.com/hackingmaterials/automatminer
An automatic engine for predicting materials properties.
https://github.com/hackingmaterials/automatminer
machine-learning material-properties pipeline prediction
Last synced: about 2 months ago
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An automatic engine for predicting materials properties.
- Host: GitHub
- URL: https://github.com/hackingmaterials/automatminer
- Owner: hackingmaterials
- License: other
- Created: 2018-05-10T18:27:08.000Z (about 8 years ago)
- Default Branch: main
- Last Pushed: 2023-11-12T10:09:39.000Z (over 2 years ago)
- Last Synced: 2025-12-15T13:12:46.924Z (6 months ago)
- Topics: machine-learning, material-properties, pipeline, prediction
- Language: Python
- Homepage:
- Size: 50.7 MB
- Stars: 169
- Watchers: 8
- Forks: 53
- Open Issues: 50
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
Awesome Lists containing this project
README

automatminer is an automatic prediction engine for materials properties.
| Tests | Code Coverage | Codacy | Release |
|:----------:|:-------------:|:------:|:------:|
| [](https://circleci.com/gh/hackingmaterials/automatminer) | [](https://www.codacy.com/app/ardunn/automatminer) | [](https://www.codacy.com/app/ardunn/automatminer) | [](https://pypi.org/project/automatminer/) |
- [**Website (including documentation)**](https://hackingmaterials.lbl.gov/automatminer/)
- [**Help/Support**](https://discuss.matsci.org/c/matminer)
- [**Source**](https://github.com/hackingmaterials/automatminer)
If you're interested in the benchmarking datasets, see our dedicated package [Matbench](https://github.com/hackingmaterials/matbench):
- [**Leaderboard and Docs**](https://matbench.materialsproject.org)
- [**Source**](https://github.com/materialsproject/matbench)
You may also be interested in the parent code of automatminer, matminer:
- [**Matminer**](https://github.com/hackingmaterials/matminer)
If you find `automatminer` or Matbench useful. useful, please consider citing [our paper](https://doi.org/10.1038/s41524-020-00406-3):
```
Dunn, A., Wang, Q., Ganose, A., Dopp, D., Jain, A. Benchmarking Materials Property
Prediction Methods: The Matbench Test Set and Automatminer Reference Algorithm. npj
Computational Materials 6, 138 (2020). https://doi.org/10.1038/s41524-020-00406-3
```
`automatminer` is `pip` installable. Please use versions `1.0.0` forward.