44 citations · 174 across the 13 of their papers we have counts for
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physics.comp-ph2020★ 36 cited
Interpreting neural network models of residual scalar flux
Gavin D. Portwood, Balasubramanya T. Nadiga, Juan A. Saenz +1
We show that in addition to providing effective and competitive closures, when analysed in terms of dynamics and physically-relevant diagnostics, artificial neural networks (ANNs)…
physics.comp-ph2019★ 24 cited
Turbulence forecasting via Neural ODE
Gavin D. Portwood, Peetak P. Mitra, Mateus Dias Ribeiro +9
Fluid turbulence is characterized by strong coupling across a broad range of scales. Furthermore, besides the usual local cascades, such coupling may extend to interactions that ar…