2 papers
physics.flu-dyn2026
A hybrid proper orthogonal decomposition and diffusion framework for reduced-order forecasting of turbulent flow dynamics
Rodrigo Abadia-Heredia, Xiangrui Zou, Manuel Lopez-Martin +2
Forecasting turbulent flow dynamics requires a balance between predictive fidelity and computational efficiency. Diffusion-based generative models can represent complex spatiotempo…
physics.flu-dyn2025
Generalization capabilities and robustness of hybrid models grounded in physics compared to purely deep learning models
Rodrigo AbadÃa-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…