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physics.flu-dyn2024
Data-driven Koopman operator predictions of turbulent dynamics in models of shear flows
C. Ricardo Constante-Amores, Andrew J. Fox, Carlos E. Pérez De Jesús +1
The Koopman operator enables the analysis of nonlinear dynamical systems through a linear perspective by describing time evolution in the infinite-dimensional space of observables.…
physics.flu-dyn2024
Data-driven low-dimensional model of a sedimenting flexible fiber
Andrew J Fox, Michael D. Graham
The dynamics of flexible filaments entrained in flow, important for understanding many biological and industrial processes, are computationally expensive to model with full-physics…