21 citations · 37 across the 12 of their papers we have counts for
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physics.flu-dyn2024★ 7 cited
Generalization capabilities and robustness of hybrid models grounded in physics compared to purely deep learning models
Rodrigo Abadía-Heredia, Adrián Corrochano, Manuel Lopez-Martin +1
This study investigates the generalization capabilities and robustness of purely deep learning (DL) models and hybrid models based on physical principles in fluid dynamics applicat…
cs.CE2024★ 1 cited
Data repairing and resolution enhancement using data-driven modal decomposition and deep learning
A. Hetherington, D. Serfaty, A. Corrochano +2
This paper introduces a new series of methods which combine modal decomposition algorithms, such as singular value decomposition and high-order singular value decomposition, and de…