57 citations · 57 across the 2 of their papers we have counts for
5 papers
Memory embedded non-intrusive reduced order modeling of non-ergodic flows
Shady E. Ahmed, Sk. Mashfiqur Rahman, Omer San +2
Generating a digital twin of any complex system requires modeling and computational approaches that are efficient, accurate, and modular. Traditional reduced order modeling techniq…
A deep learning enabler for non-intrusive reduced order modeling of fluid flows
S. Pawar, S. M. Rahman, H. Vaddireddy +3
In this paper, we introduce a modular deep neural network (DNN) framework for data-driven reduced order modeling of dynamical systems relevant to fluid flows. We propose various de…
A non-intrusive reduced order modeling framework for quasi-geostrophic turbulence
Sk. Mashfiqur Rahman, Suraj Pawar, Omer San +2
In this study, we present a non-intrusive reduced order modeling (ROM) framework for large-scale quasi-stationary systems. The framework proposed herein exploits the time series pr…
A dynamic closure modeling framework for model order reduction of geophysical flows
Sk. Mashfiqur Rahman, Shady E. Ahmed, Omer San
In this paper, a dynamic closure modeling approach has been derived to stabilize the projection-based reduced order models in the long-term evolution of forced-dissipative dynamica…
A localized dynamic closure model for Euler turbulence
Sk. Mashfiqur Rahman, Omer San
In this work, we present a localized form of the dynamic eddy viscosity model for computationally efficient and accurate simulation of the turbulent flows governed by Euler equatio…