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

The mean CFL numbers of the full models and the K-mode Galerkin

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Data-driven control of spatiotemporal chaos with reduced-order neural ODE-based models and reinforcement learning

ROMS numerical domain. GEBCO bathymetry data were used to generate a

PDF) Space--Time Least-Squares Petrov--Galerkin Projection for Nonlinear Model Reduction

RBniCS (@RBniCS) / X

Reduced Order Model Based on Principal Component Analysis for Process Simulation and Optimization

ACCO) Ancient Mediterranean Civilizations - Rice University

Physics-informed reduced-order learning from the first principles for simulation of quantum nanostructures

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

PDF) Multi-Stage Stabilization of ROMs in Strongly Nonlinear Systems

Full article: Parametric Model-Order Reduction for Radiation Transport Simulations Based on an Affine Decomposition of the Operators