Grain growth for astrophysics with Discontinuous Galerkin schemes
  Depending on their sizes, dust grains store more or less charges, catalyse
more or less chemical reactions, intercept more or less photons and stick more
or less efficiently to form embryos of planets. Hence the need for an accurate
treatment of dust coagulation and fragmentation in numerical modelling.
However, existing algorithms for solving the coagulation equation are
over-diffusive in the conditions of 3D simulations. We address this challenge
by developing a high-order solver based on the Discontinuous Galerkin method.
This algorithm conserves mass to machine precision and allows to compute
accurately the growth of dust grains over several orders of magnitude in size
with a very limited number of dust bins.
