Documentation makes use of the ChemDataExtractor toolkit to automatically extract magnetic and superconductivity property information from scientific articles and compile this information into auto-generated materials databases.

For a guide on the ChemDataExtractor toolkit please see the docs, that are available on


If you use ChemDataExtractor with Snowball as a resource in your research, please cite the following works:

Swain, M. C., & Cole, J. M. "ChemDataExtractor: A Toolkit for Automated Extraction of Chemical Information from the Scientific Literature", J. Chem. Inf. Model. 2016, 56 (10), pp 1894–1904 10.1021/acs.jcim.6b00207

Court, C. J. & Cole, J. M. "Autogenerated materials databse of Curie and Néel temperatures via semi-supervised relationship extraction", Scientific Data. 2018,5, 180111 10.1038/sdata.2018.111

Court, C. J. & Cole, J. M. "Magnetic and Superconducting Phase Diagrams and Transition Temperatures Predicted Using Text-mining and Machine Learning", NPJ Comput Mater 6, 1, 1-9 (2020)