most citedDeep Learning for Reduced Order Modelling and Efficient Temporal Evolution of Fluid Simulations

11 citations · 11 across the 1 of their papers we have counts for

collaborators

1 paper

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…