Multi agent reinforcement learning for intelligent active matter
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Updated
May 14, 2024 - Python
Multi agent reinforcement learning for intelligent active matter
Active Matter simulation
A Python module intended to make cell segmentation, tracking and subsequent (mostly biophysical) statisticial analysis easy
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 using 2D Vicsek model
A simulation framework for nonequilibrium statistical physics
Sedimention of active Brownian particles in a box. Codes for numerical simulations and numerical solution of PDEs.
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
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. …
Simulation of active particles confined to arbitrary curved surfaces
Phase Separation Classification using TensorFlow
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.
Code developped for a PhD project at the Université de Montpellier, supervised by Ludovic Berthier (Montpellier) and Robert Jack (Cambridge).
Physics Engine of Cellular Biophysics and 3D Surface Motions
Masters thesis: Active matter
Simulated Viscek-model in 2D in Python
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