Efficient, Composable Solver for Non-Equilibrium Flows - JuliaCon 2024

Explore an efficient, composable solver for non-equilibrium flows in this 10-minute conference talk from JuliaCon 2024. Delve into the development of a distributed quadtree/octree-based solver for multi-scale complex flows across various regimes, utilizing Adaptive Mesh Refinement (AMR) techniques. Learn how this approach addresses computational inefficiencies and inaccuracies in static meshes by redistributing resources based on evolving solution features. Discover the implementation of tree-based Cartesian methods for versatile boundary descriptions and discontinuous solutions. Gain insights into the theoretical foundations and practical applications of this solver through comprehensive benchmarks. Examine the advantages and challenges of using Julia for this implementation, with a focus on solving kinetic equations in scenarios with high solution concentration and steep slopes.

Efficient, composable solver for non-equilibrium flows | Ge, Xiao | JuliaCon 2024