Multi agent reinforcement learning for intelligent active matter
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Updated
Jun 29, 2026 - Python
Multi agent reinforcement learning for intelligent active matter
Python data analysis package for active and soft matter simulations
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.
Two-species active Ising model. Codes for numerical simulations and numerical solution of hydrodynamic equations.
Simulation of active particles confined to arbitrary curved surfaces
CUDA Vicsek model simulator
BARCODE (Biomaterial Activity Readouts to Categorize, Optimize, Design and Engineer
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).
A set of MATLAB codes that simulate a model for the motion of phototactic cyanobacterial cells
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.
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