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11/23/2022
A Two-Level Galerkin Reduced Order Model for the Steady Navier-Stokes Equations
We propose, analyze, and investigate numerically a novel two-level Galer...
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11/08/2022
An Energy-Based Lengthscale for Reduced Order Models of Turbulent Flows
In this paper, we propose a novel reduced order model (ROM) lengthscale ...
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09/06/2022
Stochastic Data-Driven Variational Multiscale Reduced Order Models
Trajectory-wise data-driven reduced order models (ROMs) tend to be sensi...
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03/22/2022
An Efficient Data-Driven Multiscale Stochastic Reduced Order Modeling Framework for Complex Systems
Suitable reduced order models (ROMs) are computationally efficient tools...
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02/28/2022
Reduced Order Model Closures: A Brief Tutorial
In this paper, we present a brief tutorial on reduced order model (ROM) ...
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08/11/2021
Verifiability of the Data-Driven Variational Multiscale Reduced Order Model
In this paper, we focus on the mathematical foundations of reduced order...
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08/04/2021
A Numerical Investigation of the Lengthscale in the Mixing-Length Reduced Order Model of the Turbulent Channel Flow
In this paper, we propose a novel reduced order model (ROM) lengthscale ...
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12/01/2020
Reduced Order Models for the Quasi-Geostrophic Equations: A Brief Survey
Reduced order models (ROMs) are computational models whose dimension is ...
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07/01/2020
A Multifidelity Ensemble Kalman Filter with Reduced Order Control Variates
This work develops a new multifidelity ensemble Kalman filter (MFEnKF) a...
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02/15/2020
Data-Driven Variational Multiscale Reduced Order Models
We propose a new data-driven reduced order model (ROM) framework that ce...
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08/14/2019