Smoothed particle hydrodynamics (SPH) is a mesh-free Lagrangian method for obtaining approximate numerical solutions of the equations of fluid dynamics; which has been widely applied to weakly- and strongly compressible turbulence in astrophysics and engineering applications. We present a learn-able hierarchy of parameterized and "physics-explainable" SPH informed fluid simulators using …

Turbulent flows are ubiquitous, and obtaining efficient, accurate and generalizable reduced order models remains a challenging problem. This manuscript develops a hierarchy of reduced Lagrangian models for turbulent flows in order to investigate and compare the effects of enforcing Smoothed Particle Hydrodynamics (SPH) structure versus embedding neural networks (NN)s within …