Physics-informed neural networks for unsteady incompressible flows with time-dependent moving boundaries

Documenti analoghi

• Physics-informed neural networks for hidden boundary detection and flow field reconstruction
  di: Zhu, Yongzheng, et al.
  Pubblicazione: (2025)
• Data-driven modeling of unsteady flow based on deep operator network
  di: Bai, Heming, et al.
  Pubblicazione: (2024)
• An unstructured adaptive mesh refinement for steady flows based on physics-informed neural networks
  di: Zhu, Yongzheng, et al.
  Pubblicazione: (2024)
• Physics-informed neural networks modeling for systems with moving immersed boundaries: application to an unsteady flow past a plunging foil
  di: Sundar, Rahul, et al.
  Pubblicazione: (2023)
• Finite Volume Graph Network(FVGN): Predicting unsteady incompressible fluid dynamics with finite volume informed neural network
  di: Li, Tianyu, et al.
  Pubblicazione: (2023)