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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

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-dyn2026

Reduced-order modeling of a viscoelastic turbulent jet with hybrid machine learning models

Christian Amor, Adrián Corrochano, Marco Edoardo Rosti +1

Adding flexible polymers to a Newtonian solvent confers complex properties to the resulting solution. The additional complexity substantially increases the computational cost of nu…

physics.flu-dyn2026

Clustering the Flow: A Data-Driven Framework for Pattern Discovery in Fluid Dynamics

Juan Angel Martin, Eva Muñoz, Himanshu Dave +2

Clustering techniques offer a powerful framework for analyzing complex flow dynamics and reducing computational costs in large-scale simulations. In this work, we propose a novel c…

physics.flu-dyn2025

A Critical Assessment of Pattern Comparisons Between POD and Autoencoders in Intraventricular Flows

Eneko Lazpita, Andrés Bell-Navas, Jesús Garicano-Mena +2

Understanding intraventricular hemodynamics requires compact and physically interpretable representations of the underlying flow structures, as characteristic flow patterns are clo…