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physics.flu-dyn2024
Control of flow behavior in complex fluids using automatic differentiation
Mohammed Alhashim, Kaylie Hausknecht, Michael Brenner
Inverse design of complex flows is notoriously challenging because of the high cost of high dimensional optimization. Usually, optimization problems are either restricted to few co…
physics.flu-dyn2023
Exact coherent structures in two-dimensional turbulence identified with convolutional autoencoders
Jacob Page, Joe Holey, Michael P. Brenner +1
Convolutional autoencoders are used to deconstruct the changing dynamics of two-dimensional Kolmogorov flow as is increased from weakly chaotic flow at to a chaotic st…