Ngā tūemi rite

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