Polynomial machine learning potential and its application to global structure search in the ternary Cu-Ag-Au alloy

Ejemplares similares

• Systematic global structure search of bismuth-based binary systems under pressure using machine learning potentials
  por: Wakai, Hayato, et al.
  Publicado: (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
  por: Seko, Atsuto
  Publicado: (2024)
• Global structure searches under varying temperatures and pressures using polynomial machine learning potentials: A case study on silicon
  por: Wakai, Hayato, et al.
  Publicado: (2025)
• On-the-fly training of polynomial machine learning potentials in computing lattice thermal conductivity
  por: Togo, Atsushi, et al.
  Publicado: (2024)
• Predictive power of polynomial machine learning potentials for liquid states in 22 elemental systems
  por: Wakai, Hayato, et al.
  Publicado: (2024)