58 citations · 98 across the 2 of their papers we have counts for
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physics.flu-dyn2019★ 58 cited
Compressed Convolutional LSTM: An Efficient Deep Learning framework to Model High Fidelity 3D Turbulence
Arvind Mohan, Don Daniel, Michael Chertkov +1
High-fidelity modeling of turbulent flows is one of the major challenges in computational physics, with diverse applications in engineering, earth sciences and astrophysics, among…
physics.flu-dyn2019★ 40 cited
Optimal perturbations of gravitationally unstable, transient, boundary layers in porous media
Don Daniel, Nils Tilton, Amir Riaz
We study gravitationally unstable, transient, diffusive boundary layers in porous media using modal and nonmodal stability methods. Using nonmodal stability theory, we demonstrate…
physics.flu-dyn2018
Reaction analogy based forcing for incompressible scalar turbulence
Don Daniel, Daniel Livescu, Jaiyoung Ryu
We present a novel reaction analogy (RA) based forcing method for generating stationary scalar fields in incompressible turbulence. The new method can produce more general scalar P…