Multi agent reinforcement learning for intelligent active matter
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Updated
Dec 13, 2024 - Python
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 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
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.
Simulation of active particles confined to arbitrary curved surfaces
Masters thesis: Active matter
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.
CUDA Vicsek model simulator
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. …
A python library for simulating the dynamics of active filaments.
Code developed for a research project at the University of Cambridge, supervised by Robert Jack.
A set of MATLAB codes that simulate a model for the motion of phototactic cyanobacterial cells
Phase Separation Classification using TensorFlow
Two-species active Ising model. Codes for numerical simulations and numerical solution of hydrodynamic equations.
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