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physics.flu-dyn2025
HFNO: an interpretable data-driven decomposition strategy for turbulent flows
Marco Cayuela, Vincent Le Chenadec, Peter Schmid +1
Fourier Neural Operators (FNOs) have demonstrated exceptional accuracy in mapping functional spaces by leveraging Fourier transforms to establish a connection with underlying physi…
physics.flu-dyn2024
Improved Greedy Identification of Latent Dynamics with Application to Fluid Flows
R. Ayoub, M. Oulghelou, P. J Schmid
Model reduction is a key technology for large-scale physical systems in science and engineering, as it brings behavior expressed in many degrees of freedom to a more manageable siz…