Reconstruction of instantaneous flow fields from transient velocity snapshots using physics-informed neural networks: Applications to pulsatile blood flow behind a stenosis

Documenti analoghi

• Fine-tuning physics-informed neural networks for cavity flows using coordinate transformation
  di: Takao, Ryuta, et al.
  Pubblicazione: (2025)
• A low-dissipation numerical method based on boundary variation diminishing principle for compressible gas-liquid two-phase flows with phase change on unstructured grid
  di: Wakimura, Hiro, et al.
  Pubblicazione: (2024)
• Diffuse interface approach to oxygen transport and metabolism under blood flow dynamics in microcirculations
  di: Takeishi, Naoki, et al.
  Pubblicazione: (2025)
• A particle-based method using the mesh-constrained discrete point approach for two-dimensional Stokes flows
  di: Matsuda, Takeharu, et al.
  Pubblicazione: (2022)
• A mesh-constrained discrete point method for incompressible flows with moving boundaries
  di: Matsuda, Takeharu, et al.
  Pubblicazione: (2024)