Abstract The Active Matter Evaluation Package (AMEP) is a Python library for analyzing
simulation data of particle-based and continuum simulations. It provides a powerful and …

We combine percolation theory and Monte Carlo simulation to study in two dimensions the
connectivity of an equilibrium lattice model of interacting Janus disks which self-assemble …

We study a set of models of self-propelled particles that achieve collective motion through
similar alignment-based dynamics, considering versions with and without repulsive …

The motility-induced phase separation exhibited by active particles with repulsive
interactions is well known. We show that the interaction softness of active particles …

Homogeneous active Brownian particle (ABP) systems with purely repulsive interactions are
considered to exhibit a simple phase behavior, but various physical attributes of active …

Collective motion of self-propelled particles with complex noise environments is investigated
via simulations based on the Vicsek model. In our model, self-propelled particles move in a …

A super-diffusive Vicsek model is introduced in this paper that incorporates Levy flights with
exponent α. The inclusion of this feature leads to an increase in the fluctuations of the order …

It is well known that periodic potentials can be used to induce freezing and melting in
colloids. Here, we transfer this concept to active systems and find the emergence of a so-far …

We study a system of self-propelled particles (SPPs) in which individual particles are
allowed to switch between a fast aligning and a slow nonaligning state depending upon the …

We have studied the collective behaviour of a binary mixture of self-propelled particles
(SPPs) with non-identical motile properties. The two types of SPPs with low and high velocity …