25 citations · 38 across the 5 of their papers we have counts for
6 papers
Polyconvex neural-network surrogates with learned paired directional features for anisotropic hyperelastic homogenization
S. Ares de Parga, A. Cornejo, J. A. Hernández +1
Approximating the effective anisotropic hyperelastic response of a representative volume element (RVE) requires constitutive expressiveness, mechanical consistency, and computation…
A Non-intrusive Approach for the Imposition of Strong Dirichlet Boundary Conditions in Unfitted Boundary Meshes
J. I. Camarotti, R. Aristio, R. Rossi +2
The enforcement of essential boundary conditions is a fundamental challenge in unfitted boundary methods. This paper presents a non-intrusive, black-box strategy for imposing such…
Dimensional hyperreduction of nonlinear finite element models via empirical cubature with manifold-adaptive weights
Joaquín A. Hernández, S. Ares de Parga, Riccardo Rossi
Nonlinear-manifold reduced-order models for parametrized finite element problems can achieve substantial compression both in the number of generalized (latent) coordinates and, thr…
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…
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…