Data mining for materials science
matminer is a library for performing data mining in the field of materials science.
matminer supports Python 3.8+.
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:
citations()method of the data retrieval class. This method will provide a list of BibTeX-formatted citations for that featurizer, making it easy to keep track of and cite the original publications.
citations()function present for every featurizer in matminer.