68 citations · 105 across the 5 of their papers we have counts for
Showing 2018Show all
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physics.flu-dyn2018★ 34 cited
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…
math.OC2018★ 2 cited
Advanced Scenario Creation Strategies for Stochastic Economic Dispatch with Renewables
Ryan N. King, Matthew Reynolds, Devon Sigler +1
Real-time dispatch practices for operating the electric grid in an economic and reliable manner are evolving to accommodate higher levels of renewable energy generation. In particu…