Machine learning modeling of superconducting critical temperature

Valentin Stanev, 2 Corey Oses, 4 A. Gilad Kusne, 5 Efrain Rodriguez, 2 Johnpierre Paglione, 2 Stefano Curtarolo, 4, 8 and Ichiro Takeuchi 2 Department of Materials Science and Engineering, University of Maryland, College Park, MD 20742-4111, USA Center for Nanophysics and Advanced Materials, University of Maryland, College Park, Maryland 20742, USA Department of Mechanical Engineering and Materials Science, Duke University, Durham, North Carolina 27708, United States Center for Materials Genomics, Duke University, Durham, North Carolina 27708, United States National Institute of Standards and Technology, Gaithersburg, MD 20899, USA Department of Chemistry and Biochemistry, University of Maryland, College Park, MD 20742, USA Department of Physics, University of Maryland, College Park, Maryland 20742, USA Fritz-Haber-Institut der Max-Planck-Gesellschaft, 14195 Berlin-Dahlem, Germany (Dated: October 10, 2017)