Magnetic and superconducting phase diagrams and transition temperatures predicted using text mining and machine learning
Published in NPJ Computational Materials, 2020
Recommended citation: Court C.J & Cole J.M "Magnetic and superconducting phase diagrams and transition temperatures predicted using text mining and machine learning" NPJ Computational Materials. 6, 18 (2020) https://www.nature.com/articles/s41524-020-0287-8
Description
This paper utilises text-mining and machine learning to automatically reconstruct the magnetic and superconducting phase diagrams of known materials. It further demonstrates how basic material descriptors can be used with regression models to predict the phase transitions of compounds not present in the database.
The results are available via a web-application, which you can view here