Multi agent reinforcement learning for intelligent active matter
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Updated
Nov 3, 2025 - Python
Multi agent reinforcement learning for intelligent active matter
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
Active Matter simulation
A Python module intended to make cell segmentation, tracking and subsequent (mostly biophysical) statisticial analysis easy
A simulation framework for nonequilibrium statistical physics
Active Matter Simulation using 2D Vicsek model
Mavi is a Particle Dynamics Engine.
Simulations of flocking behaviour in active agents, using a simple Viscek model
Code developed for a research project at the University of British Columbia focusing on a simple model of active particles, supervised by Jörg Rottler.
Masters thesis: Active matter
Sedimention of active Brownian particles in a box. Codes for numerical simulations and numerical solution of PDEs.
CUDA Vicsek model simulator
Simulation of active particles confined to arbitrary curved surfaces
Codes used in "Flocking and reorientation transition in the 4-state active Potts model" by S. Chatterjee, M. Mangeat, R. Paul and H. Rieger, published in EPL 130, 66001 (2020); and "Flocking with a q-fold discrete symmetry: Band-to-lane transition in the active Potts model" by M. Mangeat, S. Chatterjee, R. Paul and H. Rieger, published in Phys. …
Code developped for a PhD project at the Université de Montpellier, supervised by Ludovic Berthier (Montpellier) and Robert Jack (Cambridge).
Restricted active Potts model. Codes for numerical solution of PDEs.
Code developed for a research project at the University of Cambridge, supervised by Robert Jack.
A python library for simulating the dynamics of active filaments.
Two-species active Ising model. Codes for numerical simulations and numerical solution of hydrodynamic equations.
Simulated Viscek-model in 2D in Python
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