Unveiling defect motifs in amorphous GeSe using machine learning interatomic potentials

Ejemplares similares

• Unveiling defect motifs in amorphous GeSe using machine learning interatomic potentials
  por: Moon, Minseok, et al.
  Publicado: (2025)
• Scalable Parallel Algorithm for Graph Neural Network Interatomic Potentials in Molecular Dynamics Simulations
  por: Park, Yutack, et al.
  Publicado: (2024)
• Data-efficient multi-fidelity training for high-fidelity machine learning interatomic potentials
  por: Kim, Jaesun, et al.
  Publicado: (2024)
• An efficient forgetting-aware fine-tuning framework for pretrained universal machine-learning interatomic potentials
  por: Kim, Jisu, et al.
  Publicado: (2025)
• Electronic structures of crystalline and amorphous GeSe and GeSbTe compounds using machine learning empirical pseudopotentials
  por: Kang, Sungmo, et al.
  Publicado: (2025)