Using Conservation Laws to Infer Deep Learning Model Accuracy of Richtmyer-meshkov Instabilities. (arXiv:2208.11477v1 [physics.flu-dyn])

Richtmyer-Meshkov Instability (RMI) is a complicated phenomenon that occurs
when a shockwave passes through a perturbed interface. Over a thousand
hydrodynamic simulations were performed to study the formation of RMI for a
parameterized high velocity impact. Deep learning was used to learn the
temporal mapping of initial geometric perturbations to the full-field
hydrodynamic solutions of density and velocity. The continuity equation was
used to include physical information into the loss function, however only
resulted in very minor improvements at the …

accuracy arxiv conservation deep learning laws learning model accuracy physics