38 citations · 38 across the 3 of their papers we have counts for
3 papers
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…
Suppression of Richtmyer-Meshkov instability via special pairs of shocks and phase transitions
W. J. Schill, M. R. Armstrong, J. H. Nguyen +9
The classical Richtmyer-Meshkov instability is a hydrodynamic instability characterizing the evolution of an interface following shock loading. In contrast to other hydrodynamic in…
gLaSDI: Parametric Physics-informed Greedy Latent Space Dynamics Identification
Xiaolong He, Youngsoo Choi, William D. Fries +2
A parametric adaptive physics-informed greedy Latent Space Dynamics Identification (gLaSDI) method is proposed for accurate, efficient, and robust data-driven reduced-order modelin…