Numerical Analysis of Galerkin ROMs seminar series — NA G-ROMs

Non-intrusive data-driven ROM framework for hemodynamics problems

MCA, Free Full-Text

Global POD-Galerkin ROMs for Fluid Flows with Moving Solid Structures

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Non-intrusive nonlinear model reduction via machine learning approximations to low-dimensional operators, Advanced Modeling and Simulation in Engineering Sciences

Resume of JN Reddy - Texas A&M University

A Comprehensive Deep Learning-Based Approach to Reduced Order Modeling of Nonlinear Time-Dependent Parametrized PDEs

PPT - Stabilization of Galerkin Reduced Order Models (ROMs) for LTI Systems Using Controllers PowerPoint Presentation - ID:2985528

Instantaneous Physics‐Based Ground Motion Maps Using Reduced‐Order Modeling - Rekoske - 2023 - Journal of Geophysical Research: Solid Earth - Wiley Online Library

Non-intrusive nonlinear model reduction via machine learning approximations to low-dimensional operators, Advanced Modeling and Simulation in Engineering Sciences

Full article: Assessment of reduced-order modeling strategies for convective heat transfer

Full article: Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process