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20182024
most citedCompressed Convolutional LSTM: An Efficient Deep Learning framework to Model High Fidelity 3D Turbulence

58 citations · 115 across the 5 of their papers we have counts for

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Showing 2018Show all

2 papers · 1 filter

physics.flu-dyn2018

From Deep to Physics-Informed Learning of Turbulence: Diagnostics

Ryan King, Oliver Hennigh, Arvind Mohan +1

We describe tests validating progress made toward acceleration and automation of hydrodynamic codes in the regime of developed turbulence by three Deep Learning (DL) Neural Network…

physics.comp-ph2018

A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks

Arvind T. Mohan, Datta V. Gaitonde

Reduced Order Modeling (ROM) for engineering applications has been a major research focus in the past few decades due to the unprecedented physical insight into turbulence offered…