Simulates Reaction Diffusion models This tool simulates a number of reaction-diffusion systems and produces Turing patterns. Optionally, the images may be saved sequentially and can output images to string together in an animation.
Python with numpy and matplotlib packages installed.
python ReactionDiffusion.py -o my_simulation --moviemode -n 10000
This will output files with the prefix "OutputPrefix" into a directory of the same name, and as the moviemode flag is set, it will store 250 images for animation. User will be prompted for model type
python ReactionDiffusion.py -o my_simulation2 -m GM -n 5000
Instead uses the Gierer-Meinhardt activator-inhibitor model (-gm).
Currently supports the following reaction-diffusion systems (output results of ReactionDiffusion.py shown below).
"Complex Patterns in a Simple System", John Pearson, Science 1993
