Simulation settings
| Simulation size |
|---|
| 200x200 |
| 400x400 |
| Display update |
| 1 (smooth but slow) |
| 10 (recommended) |
| 40 (coarse but fast) |
| Colormap |
Advanced Settings (Show/Hide)
Samples
Click on an image to apply the physical parameters to the simulation.
Gray-Scott Reaction-Diffusion
About the applet
This Java applet simulates two chemical agents bound by the Gray-Scott reaction. Stepwise integration is used, and diffusion is modeled in the simplest way possible.
More functionality and information will be added here later.
To improve performance, disable the Scatterplot and Histogram displays.
Clicking in the window sets local values.
- Left-button: U=0.5, V=0.25
- Right button: U=1, V=0
Links
Unfortunately, one of the resources
that helped inspire this project seems to be non-existent. Xmorphia
was a project at caltech that used supercomputers to run
reaction-diffusion simulations like this one. The project site
used to offer images and movies linked to a phase-state map
(the image at left).
Though the project site is MIA you can visit Roy Williams here:
http://www.cacr.caltech.edu/~roy/
You can find more information about the Gray-Scott equations
at:
http://www-swiss.ai.mit.edu/projects/amorphous/GrayScott/.
Spiral waves (pseudo-periodic behavior)
Chaos (Unstable spot solitons)
Spiral waves (pseudo-periodic)
Self-limiting population (borderline chaotic behavior)
Multiplying spots (static spike solitons)
Zebrafish (nearly-stable labyrinthine forms resolving to parallel bands)
Worms (sparse, unbounded stable forms)
Coral (stable labyrinthine forms)
Varying physical parameters along a radial gradient
Varying physical parameters along a radial gradient
Varying all physical parameters
Varying physical parameters: k, diffuseU, diffuseV
Varying physical parameters: diffuseV
Varying physical parameters: diffuseU
Chaos boundary
8 comment(s)
The chaos case could be realized in the gravitationally stabilized solar fusion reactor and makes the solar neutrino flux varying over time. The problem is to find the time constant for this.
would you be willing to share your source code?
thanks in advance,
stephan schulz.
I like your demo of reaction-diffusion
Could you give me some algortihm to simulation of bacteria 1.
Thank's
Edwin SN
I like your this demo.
I like your this demo.
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