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

Mathematics, Free Full-Text

A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks – arXiv Vanity

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

CD-ROM: Complemented Deep - Reduced order model - ScienceDirect

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

Non-intrusive data-driven ROM framework for hemodynamics problems

Fluids, Free Full-Text

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

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

Full article: Data-driven correction reduced order models for the quasi-geostrophic equations: a numerical investigation

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

Waveform inversion via reduced order modeling