10 citations · 10 across the 2 of their papers we have counts for
3 papers
Generative artificial intelligence and hybrid models to accelerate LES in reactive flows: Application to hydrogen/methane combustion
Xiangrui Zou, Rodrigo Abadia-Heredia, Laura Saavedra +3
With increasing emphasis on carbon neutrality, accurate and efficient combustion prediction has become essential for the design and optimization of new generation combustion system…
An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning
Rodrigo Abadía-Heredia, Manuel Lopez-Martin, Soledad Le Clainche
This work presents, to the best of the authors' knowledge, the first generalizable and fully data-driven adaptive framework designed to stabilize deep learning (DL) autoregressive…
Forecasting through deep learning and modal decomposition in two-phase concentric jets
León Mata, Rodrigo Abadía-Heredia, Manuel Lopez-Martin +2
This work aims to improve fuel chamber injectors' performance in turbofan engines, thus implying improved performance and reduction of pollutants. This requires the development of…