**Speaker**: Tucker Hartland **Title**: Self-Similar Reynolds-Averged Turbulence Model Solutions**Abstract**: Hydrodynamic instability-induced turbulent mixing is a complex physical process that must be better understood in order to advance Inertial Confinement Fusion (ICF) research. Current computational resources are inadequate to resolve the characteristic, multiscale structures of turbulent flows described by the full Navier-Stokes equations using direct numerical or large-eddy simulation. As an alternative, Reynolds-averaged models can be utilized to describe the effects of turbulence on the mean hydrodynamics. These models require calibration of their coefficients to generate predictions consistent with a set of experimental or simulation data. Determining the relationship between model coefficient inputs and model outputs is a computationally intensive task if performed numerically. The process of generating semi analytic solutions and the resultant explicit algebraic relationships between model coefficients and physical observables are discussed.