37 citations · 48 across the 2 of their papers we have counts for
Showing physics.flu-dynShow all
2 papers · 1 filter
physics.flu-dyn2021★ 11 cited
Deep Learning for Reduced Order Modelling and Efficient Temporal Evolution of Fluid Simulations
Pranshu Pant, Ruchit Doshi, Pranav Bahl +1
Reduced Order Modelling (ROM) has been widely used to create lower order, computationally inexpensive representations of higher-order dynamical systems. Using these representations…
physics.flu-dyn2021★ 37 cited
State estimation with limited sensors -- A deep learning based approach
Yash Kumar, Pranav Bahl, Souvik Chakraborty
The importance of state estimation in fluid mechanics is well-established; it is required for accomplishing several tasks including design/optimization, active control, and future…