Reduced Order Model Closures: A Brief Tutorial
William Snyder, Changhong Mou, Honghu Liu, Omer San, Raffaella De Vita, and Traian Iliescu

TL;DR
This paper provides a tutorial on reduced order model closures, explaining their principles and development, with a focus on data-driven variational multiscale methods tested in fluid flow simulations, aimed at students.
Contribution
It offers a clear, accessible tutorial on ROM closure modeling, emphasizing the underlying principles and broad ideas rather than specific approaches.
Findings
Developed a data-driven variational multiscale ROM closure
Tested the closure in fluid flow simulations
Provided educational insights for students
Abstract
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, we construct step by step the ROM closure model by extending the classical Galerkin framework to the spaces of resolved and unresolved scales. Finally, we develop the data-driven variational multiscale ROM closure and then we test it in fluid flow simulations. Our tutorial on ROM closures is structured as a sequence of questions and answers, and is aimed at first year graduate students and advanced undergraduate students. Our goal is not to explain the "how," but the "why." That is, we carefully explain the principles used to develop ROM closures, without focusing on particular approaches. Furthermore, we try to keep the technical details to a minimum and describe the general ideas in broad terms while…
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Taxonomy
TopicsModel Reduction and Neural Networks · Lattice Boltzmann Simulation Studies · Advanced Numerical Methods in Computational Mathematics
