Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6874300 | Journal of Computational Science | 2018 | 59 Pages |
Abstract
We introduce a novel coupled algorithm for massively parallel direct numerical simulations of electrophoresis in microfluidic flows. This multiphysics algorithm employs an Eulerian description of fluid and ions, combined with a Lagrangian representation of moving charged particles. The fixed grid facilitates efficient solvers and the employed lattice Boltzmann method can efficiently handle complex geometries. Validation experiments with more than 70â¯000 time steps are presented, together with scaling experiments with over 4â¯Ãâ¯106 particles and 1.96â¯Ãâ¯1011 grid cells for both hydrodynamics and electric potential. We achieve excellent performance and scaling on up to 65â¯536 cores of a current supercomputer.
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Dominik Bartuschat, Ulrich Rüde,