Published in Theoretical and Computational Fluid Dynamics, 2020
This paper investigates different data-driven frameworks for SGS turbulence closure modeling in large eddy simulation of Kraichnan turbulence.
Published in PHYSICAL REVIEW E, 2019
In this paper, nonintrusive ROM framework for large-scale quasigeostrophic flow is proposed.
Published in MDPI Fluids, 2019
This paper is about the programming module developed in Julia to demonstrate different concepts in CFD with the help of simple test problems.
Published in Physics of Fluids, 2019
We introduce a modular deep neural network (DNN) framework for data-driven reduced order modeling of dynamical systems relevant to fluid flows.
Published in Applied Oceans Research, 2019
We validate the RANSE transition model with experimental data for open and ducted propellers