  We investigate the properties, composition, and dynamics of dust formation
and growth for a diverse set of core-collapse supernovae (CCSNe), varying the
progenitor mass, explosion energy, and engine type. These explosions are
evolved with a 1-D Lagrangian hydrodynamics code out to several hundred days to
model the ejecta as it expands and cools. A multigrain dust nucleation and
growth model is applied to these results. We find that higher explosion
energies lead to an earlier onset of dust formation, smaller grain sizes, and
larger silicate abundances. Further, we see that nuclear burning during the
explosion leads to enhanced formation of silicate dust. Finally, we build
composite models from our suite to predict the efficiency of CCSNe dust
production as a function of metallicity.
