83 citations · 117 across the 14 of their papers we have counts for
8 papers · 1 filter
A Two-Level Galerkin Reduced Order Model for the Steady Navier-Stokes Equations
Dylan Park, Changhong Mou, Honghu Liu +2
We propose, analyze, and investigate numerically a novel two-level Galerkin reduced order model (2L-ROM) for the efficient and accurate numerical simulation of the steady Navier-St…
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…
Stochastic Data-Driven Variational Multiscale Reduced Order Models
Fei Lu, Changhong Mou, Honghu Liu +1
Trajectory-wise data-driven reduced order models (ROMs) tend to be sensitive to training data, and thus lack robustness. We propose to construct a robust stochastic ROM closure (S-…
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…
Verifiability of the Data-Driven Variational Multiscale Reduced Order Model
Birgul Koc, Changhong Mou, Honghu Liu +3
In this paper, we focus on the mathematical foundations of reduced order model (ROM) closures. First, we extend the verifiability concept from large eddy simulation to the ROM sett…
A Multifidelity Ensemble Kalman Filter with Reduced Order Control Variates
Andrey A Popov, Changhong Mou, Traian Iliescu +1
This work develops a new multifidelity ensemble Kalman filter (MFEnKF) algorithm based on linear control variate framework. The approach allows for rigorous multifidelity extension…
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…
Commutation Error in Reduced Order Modeling of Fluid Flows
Birgul Koc, Muhammad Mohebujjaman, Changhong Mou +1
For reduced order models (ROMs) of fluid flows, we investigate theoretically and computationally whether differentiation and ROM spatial filtering commute, i.e., whether the commut…