Author

Sergio Hoyas

2 papers indexed here

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Preprint Sep 2026

Unveiling wing turbulence dynamics through explainable deep learning

The three-dimensional organization of coherent structures in the turbulent flow over aircraft wings remains elusive, limiting our ability to reduce fuel consumption. Here, we use explainable artificial intelligence to characterize these structures by predicted flow evolution rather than classical predefined kinematic c...

Samuel Molina-Casino, Andrés Cremades, Sergio Hoyas et al. · 0 citations

#machine learning May 2026

AeroJEPA: Learning Semantic Latent Representations for Scalable 3D Aerodynamic Field Modeling

In this selective-decoding experiment, AeroJEPA substantially outperforms the evaluated direct-regression surrogates while avoiding predictions over the remainder of the aircraft, and shows how predictive representations can support aerodynamic analysis with or without full-field reconstruction.

Francisco Giral, A. Vishwasrao, Andrea Arroyo Ramo et al. · arXiv.org · 1 citation