Documenti analoghi

• Data-efficient multi-fidelity training for high-fidelity machine learning interatomic potentials
  di: Kim, Jaesun, et al.
  Pubblicazione: (2024)
• Discovery of oxide Li-conducting electrolytes in uncharted chemical space via topology-constrained crystal structure prediction
  di: Hwang, Seungwoo, et al.
  Pubblicazione: (2025)
• Application of pretrained universal machine-learning interatomic potential for physicochemical simulation of liquid electrolytes in Li-ion battery
  di: Ju, Suyeon, et al.
  Pubblicazione: (2025)
• Unveiling defect motifs in amorphous GeSe using machine learning interatomic potentials
  di: Moon, Minseok, et al.
  Pubblicazione: (2025)
• Unveiling defect motifs in amorphous GeSe using machine learning interatomic potentials
  di: Moon, Minseok, et al.
  Pubblicazione: (2025)