Deciphering diffuse scattering with machine learning and the equivariant foundation model: The case of molten FeO

Documenti analoghi

• Neutron and X-ray Diffraction Reveal the Limits of Long-Range Machine Learning Potentials for Medium-Range Order in Silica Glass
  di: Balantrapu, Sai Harshit, et al.
  Pubblicazione: (2026)
• How accurate are foundational machine learning interatomic potentials for heterogeneous catalysis?
  di: Kempen, Luuk H. E., et al.
  Pubblicazione: (2025)
• Thermodynamic assessment of machine learning models for solid-state synthesis prediction
  di: Schlesinger, Jane, et al.
  Pubblicazione: (2026)
• Machine learning Hubbard parameters with equivariant neural networks
  di: Uhrin, Martin, et al.
  Pubblicazione: (2024)
• Accelerating the prediction of inorganic surfaces with machine learning interatomic potentials
  di: Noordhoek, Kyle, et al.
  Pubblicazione: (2023)