3 papers
math.NA2026
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…
cs.LG2025
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…
cs.DC2024
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…