25 citations · 47 across the 2 of their papers we have counts for
6 papers
A discrete physics-informed training for projection-based reduced order models with neural networks
N. Sibuet, S. Ares de Parga, J. R. Bravo +1
This paper presents a physics-informed training framework for projection-based Reduced Order Models (ROMs). We extend the PROM-ANN architecture by complementing snapshot-based trai…
Parallel Reduced Order Modeling for Digital Twins using High-Performance Computing Workflows
S. Ares de Parga, J. R. Bravo, N. Sibuet +9
The integration of reduced-order models (ROMs) with high-performance computing (HPC) is critical for developing digital twins, particularly for real-time monitoring and predictive…
A subspace-adaptive weights cubature method with application to the local hyperreduction of parameterized finite element models
J. R. Bravo, J. A. Hernández, S. Ares de Parga +1
This paper is concerned with quadrature/cubature rules able to deal with multiple subspaces of functions, in such a way that the integration points are common for all the subspaces…
Hyper-reduction for Petrov-Galerkin reduced order models
S. Ares de Parga, J. R. Bravo, J. A. Hernandez +2
Projection-based Reduced Order Models minimize the discrete residual of a "full order model" (FOM) while constraining the unknowns to a reduced dimension space. For problems with s…
CECM: A continuous empirical cubature method with application to the dimensional hyperreduction of parameterized finite element models
J. A. Hernandez, J. R. Bravo, S. Ares de Parga
We present the Continuous Empirical Cubature Method (CECM), a novel algorithm for empirically devising efficient integration rules. The CECM aims to improve existing cubature metho…
Geometrically Parametrised Reduced Order Models for the Study of Hysteresis of the Coanda Effect in Finite Element-based Incompressible Fluid Dynamics
J. R. Bravo, G. Stabile, M. Hess +3
This article presents a general reduced order model (ROM) framework for addressing fluid dynamics problems involving time-dependent geometric parametrisations. The framework integr…