29 citations · 34 across the 8 of their papers we have counts for
Showing physics.flu-dynShow all
2 papers · 1 filter
physics.flu-dyn2023
A parametric level set method with convolutional encoder-decoder network for shape optimization with fluid flow
Wrik Mallik, Rajeev K. Jaiman, Jasmin Jelovica
In this article, we present a new data-driven shape optimization approach for implicit hydrofoil morphing via a polynomial perturbation of parametric level set representation. With…
physics.flu-dyn2022
Assessment of convolutional recurrent autoencoder network for learning wave propagation
Wrik Mallik, Rajeev K. Jaiman, Jasmin Jelovica
It is challenging to construct generalized physical models of wave propagation in nature owing to their complex physics as well as widely varying environmental parameters and dynam…