294 citations · 2.9k across the 83 of their papers we have counts for
5 papers · 2 filters
A long short-term memory embedding for hybrid uplifted reduced order models
Shady E. Ahmed, Omer San, Adil Rasheed +1
In this paper, we introduce an uplifted reduced order modeling (UROM) approach through the integration of standard projection based methods with long short-term memory (LSTM) embed…
Sampling and resolution characteristics in reduced order models of shallow water equations: intrusive vs non-intrusive
Shady E. Ahmed, Omer San, Diana A. Bistrian +1
We investigate the sensitivity of reduced order models (ROMs) to training data resolution as well as sampling rate. In particular, we consider proper orthogonal decomposition (POD)…
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 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…
Connecting implicit and explicit large eddy simulations of two-dimensional turbulence through machine learning
Romit Maulik, Omer San, Jamey D Jacob
In this article, we utilize machine learning to dynamically determine if a point on the computational grid requires implicit numerical dissipation for large eddy simulation (LES).…