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P. Koumoutsakos

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Preprint Aug 2026

A hybrid proper orthogonal decomposition and diffusion framework for reduced-order forecasting of turbulent flow dynamics

Forecasting turbulent flow dynamics requires a balance between predictive fidelity and computational efficiency. Diffusion-based generative models can represent complex spatiotemporal dynamics, but their application to high-dimensional turbulent flows remains computationally expensive. In contrast, proper orthogonal de...

Rodrigo Abad'ia-Heredia, Xiangrui Zou, M. López-Martín et al. · 0 citations

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