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20242026
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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-dyn2026

Divergence-aware adaptive prediction framework for accelerating CFD simulations of unsteady flows

Xiangrui Zou, Zhuoqun Zhao, Guillermo Barragán +1

Reliable long-horizon prediction remains a challenge for data-driven CFD surrogates, because offline-trained models accumulate autoregressive errors and lose accuracy when operatin…

physics.flu-dyn2026

Coherent structures in Newtonian and viscoelastic turbulent planar jets

Christian Amor, Adrián Corrochano, Giovanni Soligo +2

The addition of a small amount of long-chain polymers confers viscoelastic properties to Newtonian flows. The resulting non-Newtonian solution now exhibits different dynamics, such…

physics.flu-dyn2025

MoTIF: A Mode-Structured Tensor Framework for Multi-Parametric Approximation, Super-Resolution and Forecasting of Unsteady Systems

Guillermo Barragán, Ashton Hetherington, Arindam Sengupta +3

We introduce MoTIF, a mode-structured tensor framework for multi-parametric approximation, super-resolution, and temporal forecasting of high-dimensional unsteady systems. The meth…

physics.flu-dyn2024

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…

physics.flu-dyn2023

A unified view of elastic and elasto-inertial turbulence in channel flows at low and moderate Reynolds numbers

Giulio Foggi Rota, Christian Amor, Soledad Le Clainche +1

The chaotic flow of elastic fluids at low Reynolds number (Re) is typically distinguished into elasto-inertial and elastic turbulence (EIT/ET). However, the clear separation among…