most citedUsing Conservation Laws to Infer Deep Learning Model Accuracy of Richtmyer-meshkov Instabilities

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

physics.comp-ph2024

Machine Learning Visualization Tool for Exploring Parameterized Hydrodynamics

C. F. Jekel, D. M. Sterbentz, T. M. Stitt +4

We are interested in the computational study of shock hydrodynamics, i.e. problems involving compressible solids, liquids, and gases that undergo large deformation. These problems…

physics.flu-dyn2022★ 1 cited

Using Conservation Laws to Infer Deep Learning Model Accuracy of Richtmyer-meshkov Instabilities

Charles F. Jekel, Dane M. Sterbentz, Sylvie Aubry +3

Richtmyer-Meshkov Instability (RMI) is a complicated phenomenon that occurs when a shockwave passes through a perturbed interface. Over a thousand hydrodynamic simulations were per…