18 citations · 19 across the 3 of their papers we have counts for
3 papers
physics.flu-dyn2024★ 1 cited
Trade-off between reconstruction accuracy and physical validity in modeling turbomachinery PIV data by Physics-Informed CNN
Maryam Soltani, Ghasem Akbari, Nader Montazerin
Particle Image Velocimetry (PIV) data is a valuable asset in fluid mechanics. It is capable of visualizing flow structures even in complex physics scenarios, such as the flow at th…
physics.flu-dyn2021★ 18 cited
Flow based features and validation metric for machine learning reconstruction of PIV data
Ghasem Akbari, Nader Montazerin
Reconstruction of flow field from real sparse data by a physics-oriented approach is a current challenge for fluid scientists in the AI community. The problem includes feature reco…
physics.flu-dyn2018
On the Role of Low Energy Modes of the Flow on Sub-Grid Scale Parameter Prediction
Hossein Rahmani, Hamid Kalaei, Ghasem Akbari +1
Large Eddy Simulation is based on decomposition of turbulent flow structures to large energy containing scales and small subgrid scales. The present study captures all flow low ene…