Rheological Parameter Identification in Granular Materials Using Physics-Informed Neural Networks

Documenti analoghi

• Identification of Settling Velocity with Physics Informed Neural Networks For Sediment Laden Flows
  di: Delcey, Mickaël, et al.
  Pubblicazione: (2024)
• Structural Order Drives Diffusion in a Granular Packing
  di: Luce, David, et al.
  Pubblicazione: (2025)
• Quantitative Assessment of PINN Inference on Experimental Data for Gravity Currents Flows
  di: Delcey, Mickaël, et al.
  Pubblicazione: (2023)
• Multiscale Physics-Informed Neural Networks for the Inverse Design of Hyperuniform Optical Materials
  di: Riganti, Roberto, et al.
  Pubblicazione: (2024)
• Auxiliary Physics-Informed Neural Networks for Forward, Inverse, and Coupled Radiative Transfer Problems
  di: Riganti, Roberto, et al.
  Pubblicazione: (2023)