11 citations · 11 across the 1 of their papers we have counts for
2 papers
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-dyn2020
Deep Learning for Efficient Reconstruction of High-Resolution Turbulent DNS Data
Pranshu Pant, Amir Barati Farimani
Within the domain of Computational Fluid Dynamics, Direct Numerical Simulation (DNS) is used to obtain highly accurate numerical solutions for fluid flows. However, this approach f…