24 citations · 41 across the 15 of their papers we have counts for
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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…
physics.soc-ph2019
Modeling PKT at a global level: A machine learning approach
Peetak Mitra, Suhrid Deshmukh
It is well-accepted that the ability to go from one place to another, or mobility, contributes significantly to one's wellbeing. The need for mobility is universal, but the demand…