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Nikolaj T. Mücke (CWI), Reduced Order Modeling for Fluid Simulations using Deep Learning

ROM introduction

12 - Model Order Reduction - Non-linear problems

Reduced order modelling for real-time simulations

Data-Driven Control: The Goal of Balanced Model Reduction

Structure Preserving Model Order Reduction by Parameter Optimization

DDPS | Model order reduction assisted by deep neural networks (ROM-net)

Francisco Chinesta, Efficient Model Order Reduction in Computational Thermo-mechanics...

Anthony Patera: Parametrized model order reduction for component-to-system synthesis

DDPS | Non-intrusive reduced order models using physics informed neural networks

Model order Reduction- Hardware and Software realization.
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Last Updated: August 23, 2026
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