18 citations · 19 across the 3 of their papers we have counts for
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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…
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…
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…