matminer is a library that contains tools for data mining in Materials Science
# <img alt=”matminer” src=”docs_rst/_static/matminer_logo_small.png” width=”300”>
matminer is a library for performing data mining in the field of materials science.
- Website (including documentation): https://hackingmaterials.github.io/matminer/
- Examples: https://github.com/hackingmaterials/matminer_examples
- Help/Support: https://hackingmaterials.discourse.group/c/matminer
- Source: https://github.com/hackingmaterials/matminer
If you like matminer, you might also try [automatminer](https://github.com/hackingmaterials/automatminer).
If you find matminer useful, please encourage its development by citing the following paper in your research: ` Ward, L., Dunn, A., Faghaninia, A., Zimmermann, N. E. R., Bajaj, S., Wang, Q., Montoya, J. H., Chen, J., Bystrom, K., Dylla, M., Chard, K., Asta, M., Persson, K., Snyder, G. J., Foster, I., Jain, A., Matminer: An open source toolkit for materials data mining. Comput. Mater. Sci. 152, 60-69 (2018). `
Matminer helps users apply methods and data sets developed by the community. Please also cite the original sources, as this will add clarity to your article and credit the original authors:
- If you use one or more data retrieval methods, check the code documentation on the relevant paper(s) to cite.
- If you use one or more featurizers, please take advantage of the `citations()` function present for every featurizer in matminer. This function will provide a list of BibTeX-formatted citations for that featurizer, making it easy to keep track of and cite the original publications.
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