Lignende værker

• Flow field tomography with uncertainty quantification using a Bayesian physics-informed neural network
  af: Molnar, Joseph P., et al.
  Udgivet: (2021)
• Learning fluid physics from highly turbulent data using sparse physics-informed discovery of empirical relations (SPIDER)
  af: Gurevich, Daniel R., et al.
  Udgivet: (2021)
• Estimating density, velocity, and pressure fields in supersonic flow using physics-informed BOS
  af: Molnar, Joseph P., et al.
  Udgivet: (2022)
• Structure functions and flatness of streamwise velocity in a turbulent channel flow
  af: Granero-Belinchon, Carlos, et al.
  Udgivet: (2025)
• Drag prediction of rough-wall turbulent flow using data-driven regression
  af: Shi, Zhaoyu, et al.
  Udgivet: (2024)