Magnetic and superconducting phase diagrams and transition temperatures predicted using text mining and machine learning

HIGHLIGHTS

• who: Callum J. Court from the (UNIVERSITY) have published the research: Magnetic and superconducting phase diagrams and transition temperatures predicted using text mining and machine learning, in the Journal: (JOURNAL)
• what: The research does not make full use of the vast amount of data available in the scientific literature, and often focusses on small subsets of data that are not fully representative. The authors demonstrate, through case studies of the perovskite-type oxides and pnictide superconductors, that the reconstructed phase diagrams and associated predictions are highly accurate and directly relatable to the underlying physical theory . . .
  

   

  

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