20 citations · 47 across the 6 of their papers we have counts for
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physics.comp-ph2020★ 20 cited
Using Machine Learning to Augment Coarse-Grid Computational Fluid Dynamics Simulations
Jaideep Pathak, Mustafa Mustafa, Karthik Kashinath +3
Simulation of turbulent flows at high Reynolds number is a computationally challenging task relevant to a large number of engineering and scientific applications in diverse fields…
physics.comp-ph2019
Capturing shocks and turbulence spectra in compressible flows. Part 2: A new hybrid PPM/WENO method
Emmanuel Motheau, John Wakefield
In the Part 1 of the present paper the performance of several different low and high-order finite-volume methods were assessed by investigating how well they can capture the turbul…
physics.comp-ph2019
Investigation of finite-volume methods to capture shocks and turbulence spectra in compressible flows
Emmanuel Motheau, John Wakefield
The aim of the present paper is to provide a comparison between several finite-volume methods of different numerical accuracy: second-order Godunov method with PPM interpolation an…