GPU-based Multiscale Simulation to Model Active Matter Hydrodynamics in Fluid Medium

Abstract

Active matter systems are soft matter systems characterized by many interacting active particles, such as bacterial suspensions or Janus particles. While dry active matter systems have been studied extensively, hydrodynamic interactions in active matter systems remain an open area of investigation. This is particularly challenging because modeling these interactions requires simulating a large number of fluid particles in addition to the active colloidal particles. In this thesis, the main focus was placed on parallelizing this simulation suitable for a GPU. We benchmark and verify the different components of the model and also verify the results displayed by the complete model. The resulting parallelized simulation created in this project will be used to investigate the behavior of active matter systems under different conditions and parameter settings, with a focus on understanding the role of hydrodynamic interactions in emergent phenomena.