Reaction Diffusion patterns are an emergent system that can be found in numerous forms in nature including patterns on fish, coral, plant-life, and other animal patterns. Algorithms that model these systems can create wildly dynamic and variable patterns with just small changes in the initial parameters.
The Gray-Scott Model is one type of equation that models a reaction-diffusion system, based upon a chemical reaction between two substances that diffuse over time. The main parameters that control the outcome of the simulation are the time (t), feed (f), and kill (k) rates.
EQLZ® 360 utilizes a Reaction Diffusion Simulation of over 2.1 million points to generate the outsole geometry. Algorithmic Gradation was used to smoothly transition the pressure data values across the outsole between multiple pattern typologies that are optimized for traction, flexibility, energy absorption, and weight reduction in response to pressure mapping data and the respective location on the outsole.