Flow field tomography with uncertainty quantification using a Bayesian physics-informed neural network

Documenti analoghi

• Estimating density, velocity, and pressure fields in supersonic flow using physics-informed BOS
  di: Molnar, Joseph P., et al.
  Pubblicazione: (2022)
• Neural optical flow for planar and stereo PIV
  di: Masker, Andrew I., et al.
  Pubblicazione: (2024)
• Stochastic particle advection velocimetry (SPAV): theory, simulations, and proof-of-concept experiments
  di: Zhou, Ke, et al.
  Pubblicazione: (2022)
• Inferring parameters and reconstruction of two-dimensional turbulent flows with physics-informed neural networks
  di: Parfenyev, Vladimir, et al.
  Pubblicazione: (2024)
• Analysis of thermochemical non-equilibrium hypersonic flow over a waverider with uncertainty quantification
  di: Redding, Jeremy, et al.
  Pubblicazione: (2024)