Mesh sampling and weighting for the hyperreduction of nonlinear Petrov-Galerkin reduced-order models with local reduced-order bases

6 August 2020

Papers citing "Mesh sampling and weighting for the hyperreduction of nonlinear Petrov-Galerkin reduced-order models with local reduced-order bases"

7 / 7 papers shown

Title
A discrete physics-informed training for projection-based reduced order models with neural networks N. Sibuet S. A. D. Parga J. R. Bravo R. Rossi 29 0 0 31 Mar 2025
Parallel Reduced Order Modeling for Digital Twins using High-Performance Computing Workflows S. A. D. Parga J. R. Bravo N. Sibuet J. A. Hernandez R. Rossi ... Andrés E. Tomás Cristian Cătălin Tatu Fernando Vázquez-Novoa J. Ejarque Rosa M. Badia 21 1 0 10 Sep 2024
Learning Latent Space Dynamics with Model-Form Uncertainties: A Stochastic Reduced-Order Modeling Approach Jin Yi Yong Rudy Geelen Johann Guilleminot 28 1 0 30 Aug 2024
MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under non-parameterized geometrical variability F. Casenave B. Staber Xavier Roynard AI4CE 26 14 0 22 May 2023
CROM: Continuous Reduced-Order Modeling of PDEs Using Implicit Neural Representations Julius Berner Jinxu Xiang D. Cho Yue Chang G. Pershing H. Maia Maurizio M. Chiaramonte Kevin Carlberg E. Grinspun AI4CE 25 40 0 06 Jun 2022
Uncertainty quantification for industrial design using dictionaries of reduced order models Thomas Daniel F. Casenave N. Akkari David Ryckelynck C. Rey AI4CE 8 9 0 09 Aug 2021
On the stability of projection-based model order reduction for convection-dominated laminar and turbulent flows Sebastian Grimberg C. Farhat Noah Youkilis 29 88 0 27 Jan 2020