Structural and mechanical properties of W-Cu compounds characterized by a neural-network-based potential

Documenti analoghi

• Leveraging neural network interatomic potentials for a foundation model of chemistry
  di: Kim, So Yeon, et al.
  Pubblicazione: (2025)
• Differentiable neural network representation of multi-well, locally-convex potentials
  di: Jones, Reese E., et al.
  Pubblicazione: (2025)
• Equivariant graph convolutional neural networks for the representation of homogenized anisotropic microstructural mechanical response
  di: Patel, Ravi, et al.
  Pubblicazione: (2024)
• General time-reversal equivariant neural network potential for magnetic materials
  di: Yu, Hongyu, et al.
  Pubblicazione: (2022)
• CRYSIM: Prediction of Symmetric Structures of Large Crystals with GPU-based Ising Machines
  di: Liang, Chen, et al.
  Pubblicazione: (2025)