High-Pressure Inelastic Neutron Spectroscopy: A true test of Machine-Learned Interatomic Potential energy landscapes

Documenti analoghi

• Benchmarking Universal Machine Learning Interatomic Potentials for Real-Time Analysis of Inelastic Neutron Scattering Data
  di: Han, Bowen, et al.
  Pubblicazione: (2025)
• Modelling Silica using MACE-MP-0 Machine Learnt Interatomic Potentials
  di: Nasir, Jamal Abdul, et al.
  Pubblicazione: (2024)
• Hydrogen under Pressure as a Benchmark for Machine-Learning Interatomic Potentials
  di: Bischoff, Thomas, et al.
  Pubblicazione: (2024)
• Discovering High-Entropy Oxides with a Machine-Learning Interatomic Potential
  di: Sivak, Jacob T., et al.
  Pubblicazione: (2024)
• A "Magnetic" Machine Learning Interatomic Potential for Nickel
  di: Gong, Xiaoguo, et al.
  Pubblicazione: (2023)