2 papers
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.DC2025
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…