activity
20182026
most citedData-Driven Variational Multiscale Reduced Order Models

83 citations · 97 across the 6 of their papers we have counts for

collaborators

8 papers

physics.flu-dyn2026

Hybrid ROM-PINN Framework for Closure Modeling in Convection-Dominated Systems

Ferhat Kaya, Birgul Koc, Atakan Aygun +2

Reduced-order models (ROMs) have become an essential tool for reducing the computational cost of fluid flow simulations. While standard ROMs can efficiently approximate laminar flo…

physics.flu-dyn2022★ 1 cited

Residual Data-Driven Variational Multiscale Reduced Order Models for Parameter Dependent Problems

Birgul Koc, Samuele Rubino, Tomás Chaón Rebollo +1

In this paper, we investigate the modeling of sub-scale components of proper orthogonal decomposition reduced order models (POD-ROMs) of convection-dominated flows. We propose ROM…

math.NA2022

Uniform Bounds with Difference Quotients for Proper Orthogonal Decomposition Reduced Order Models of the Burgers Equation

Birgul Koc, Tomás Chacón Rebollo, Samuele Rubino

In this paper, we prove uniform error bounds for proper orthogonal decomposition (POD) reduced order modeling (ROM) of Burgers equation, considering difference quotients (DQs), int…

math.NA2021

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…

math.NA2020

On Optimal Pointwise in Time Error Bounds and Difference Quotients for the Proper Orthogonal Decomposition

Birgul Koc, Samuele Rubino, Michael Schneier +2

In this paper, we resolve several long standing issues dealing with optimal pointwise in time error bounds for proper orthogonal decomposition (POD) reduced order modeling of the h…

math.NA2020★ 83 cited

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…

math.AP2019★ 13 cited

Long-Time Reynolds Averaging of Reduced Order Models for Fluid Flows: Preliminary Results

Luigi C. Berselli, Traian Iliescu, Birgul Koc +1

We perform a theoretical and numerical investigation of the time-average of energy exchange among modes of Reduced Order Models (ROMs) of fluid flows. We are interested in the stat…

math.NA2018

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…