Coding Challenge #13: Reaction Diffusion Algorithm in p5.js

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Published on May 26, 2016 3:50:53 PM ● Video Link: https://www.youtube.com/watch?v=BV9ny785UNc

Duration: 39:10

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In this coding challenge, I visualize a Reaction Diffusion simulation using the Gray Scott model in JavaScript (with the p5.js library). Code: https://thecodingtrain.com/challenges/13-reaction-diffusion

🕹️ p5.js Web Editor Sketch: https://editor.p5js.org/codingtrain/sketches/govdEW5aE

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References:
📖 Karl Sims' Reaction Diffusion Tutorial: http://karlsims.com/rd.html
📓 2D Array Tutorial: https://processing.org/tutorials/2darray/
📕 My NOC class on Kadenze: https://www.kadenze.com/courses/the-nature-of-code/info

Videos:
🔴 Livestream Archive: https://youtu.be/FYRINCEDVKI?t=6697s

Related Coding Challenges:
🚂 #85 The Game of Life: https://youtu.be/FWSR_7kZuYg
🚂 #90 Floyd-Steinberg Dithering: https://youtu.be/0L2n8Tg2FwI
🚂 #103 Fire Effect: https://youtu.be/X0kjv0MozuY

Timestamps:
0:00 Introducing today's topic
0:36 The Gray-Scott model
1:41 Key pieces of the algorithm
4:24 Convolutions
7:01 2D arrays
9:00 The grid stores the amount of a and b chemicals across every pixel
10:30 Create another array to store the next generation
11:37 Dealing with the pixel array
12:55 Set the pixel colors based on the amount of a and b
16:14 Write a function to swap the current and next grid
19:30 Add the reaction diffusion formulas to the code
24:27 Time steps
27:29 Add the Laplace functions
33:45 Seed a whole area with b
36:37 Recap of the code and suggestions for creative possibilities

Editing by Mathieu Blanchette
Animations by Jason Heglund
Music from Epidemic Sound

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🔗 p5.js: https://p5js.org
🔗 p5.js Web Editor: https://editor.p5js.org/
🔗 Processing: https://processing.org

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#math #reactiondiffusion #javascript #p5js