• DScribe: Library of descriptors for machine learning in materials science 

      Himanen, Lauri; Jager, Marc OJ; Morooka, Eiaki V; Federici Canova, Filippo; Ranawat, Yashasvi S; Gao, David Zhe; Rinke, Patrick; Foster, Adam S (Journal article; Peer reviewed, 2019)
      DScribe is a software package for machine learning that provides popular feature transformations (“descriptors”) for atomistic materials simulations. DScribe accelerates the application of machine learning for atomistic ...
    • Ultrahigh-pressure form of Si O2 glass with dense pyrite-type crystalline homology 

      Murakami, M.; Kohara, S; Kitamura, N.; Akola, Jaakko; Inoue, H; Hirata, A; Hiraoka, Y; Onodera, Y; Obayashi, I; Kalikka, J; Hirao, N; Musso, T; Foster, Adam S; Idemoto, Y; Sakata, O; Ohishi, Y (Peer reviewed; Journal article, 2019)
      High-pressure synthesis of denser glass has been a longstanding interest in condensed-matter physics and materials science because of its potentially broad industrial application. Nevertheless, understanding its nature ...