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A kinetic-Monte Carlo perspective on active matter
Juliane U. Klamser, Sebastian C. Kapfer, Werner Krauth
We study non-equilibrium phases for interacting two-dimensional self-propelled particles with isotropic pair-wise interactions using a persistent kinetic Monte Carlo (MC) approach.…
Event-chain Monte Carlo with factor fields
Ze Lei, Werner Krauth, A. C. Maggs
We study the dynamics of one-dimensional (1D) interacting particles simulated with the event-chain Monte Carlo algorithm (ECMC). We argue that previous versions of the algorithm su…
Mixing and perfect sampling in one-dimensional particle systems
Ze Lei, Werner Krauth
We study the approach to equilibrium of the event-chain Monte Carlo (ECMC) algorithm for the one-dimensional hard-sphere model. Using the connection to the coupon-collector problem…
All-atom computations with irreversible Markov chains
Michael F. Faulkner, Liang Qin, A. C. Maggs +1
The event-chain Monte Carlo (ECMC) method is an irreversible Markov process based on the factorized Metropolis filter and the concept of lifted Markov chains. Here, ECMC is applied…
Thermodynamic phases in two-dimensional active matter
Juliane U. Klamser, Sebastian C. Kapfer, Werner Krauth
Active matter has been intensely studied for its wealth of intriguing properties such as collective motion, motility-induced phase separation (MIPS), and giant fluctuations away fr…