294 citations · 2.9k across the 83 of their papers we have counts for
5 papers · 1 filter
An Energy-Based Lengthscale for Reduced Order Models of Turbulent Flows
Changhong Mou, Elia Merzari, Omer San +1
In this paper, we propose a novel reduced order model (ROM) lengthscale that is constructed by using energy distribution arguments. The new energy-based ROM lengthscale is fundamen…
Digital Twin Data Modelling by Randomized Orthogonal Decomposition and Deep Learning
Diana Alina Bistrian, Omer San, Ionel Michael Navon
A digital twin is a surrogate model that has the main feature to mirror the original process behavior. Associating the dynamical process with a digital twin model of reduced comple…
Reduced Order Model Closures: A Brief Tutorial
William Snyder, Changhong Mou, Honghu Liu +3
In this paper, we present a brief tutorial on reduced order model (ROM) closures. First, we carefully motivate the need for ROM closure modeling in under-resolved simulations. Then…
Sketching Methods for Dynamic Mode Decomposition in Spherical Shallow Water Equations
Shady E. Ahmed, Omer San, Diana A. Bistrian +1
Dynamic mode decomposition (DMD) is an emerging methodology that has recently attracted computational scientists working on nonintrusive reduced order modeling. One of the major st…
Data-Driven Variational Multiscale Reduced Order Models
Changhong Mou, Birgul Koc, Omer San +2
We propose a new data-driven reduced order model (ROM) framework that centers around the hierarchical structure of the variational multiscale (VMS) methodology and utilizes data to…