Схожие документы

• Global structure searches under varying temperatures and pressures using polynomial machine learning potentials: A case study on silicon
  по: Wakai, Hayato, и др.
  Опубликовано: (2025)
• Systematic global structure search of bismuth-based binary systems under pressure using machine learning potentials
  по: Wakai, Hayato, и др.
  Опубликовано: (2025)
• Globally-stable and metastable crystal structure enumeration using polynomial machine learning potentials in elemental As, Bi, Ga, In, La, P, Sb, Sn, and Te
  по: Seko, Atsuto
  Опубликовано: (2024)
• On-the-fly training of polynomial machine learning potentials in computing lattice thermal conductivity
  по: Togo, Atsushi, и др.
  Опубликовано: (2024)
• Polynomial machine learning potential and its application to global structure search in the ternary Cu-Ag-Au alloy
  по: Seko, Atsuto
  Опубликовано: (2024)