Kinetic Event-Chain Algorithm for Active Matter

Abstract: We present a cluster kinetic Monte-Carlo algorithm for active matter systems of self-propelled hard particles. The kinetic event-chain algorithm is based on the event-chain Monte-Carlo method and is applied to active hard disks in two dimensions. The algorithm assigns Monte-Carlo moves of active disks a mean time based on their mean move length in force direction. This time is used to perform diffusional rotation of their propulsion force. We show that the algorithm reproduces the motility induced phase separated region in the phase diagram of hard disks correctly and efficiently. We extend the algorithm to mixtures of active and passive particles and uncover the microscopic mechanism behind the enhanced diffusion of a completely symmetric passive tracer disk in a bath of active hard disks.