Multi agent reinforcement learning for intelligent active matter

Active Matter simulation

The Active Matter Evaluation Package (AMEP) - a Python library for the analysis of particle-based and continuum simulation data of soft and active matter systems

A simulation framework for nonequilibrium statistical physics

Code developed for a research project at the University of British Columbia focusing on a simple model of active particles, supervised by Jörg Rottler.

Simulations of flocking behaviour in active agents, using a simple Viscek model

Sedimention of active Brownian particles in a box. Codes for numerical simulations and numerical solution of PDEs.

Code developped for a PhD project at the Université de Montpellier, supervised by Ludovic Berthier (Montpellier) and Robert Jack (Cambridge).

Code developed for a research project at the University of Cambridge, supervised by Robert Jack.

Python scripts for active matter analysis