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Computational Backbone

Exploring nature's pattern language through reaction-diffusion physics

Explore
Tools
Chain Explorer
Live Loading...
Predictive chain learning across 123 physics modifiers. Watch the engine predict, execute, and learn across 12 domains: geological, biological, crystal, material, organization, influence, waves, thermal, process, forces, scale, and dimension.
Live PDE
Live Checking...
Real-time Gray-Scott reaction-diffusion running on your GPU via WebGPU. Click to seed, drag to paint, explore the phase diagram.
Rust Engine
Coming Soon
8-field coupled PDE engine: Q, S, R, P, M, T, G, θ. wgpu Vulkan compute. 123 physics modifiers across 12 domains, 8-field PDE.
Pattern Gallery
Coming Soon
Visual catalog of discovered patterns: spots, labyrinths, coral, worms, solitons, and cross-domain hybrids.
Architecture
Word
Modifier
PDE Parameters
8-field evolution
Pattern
Measurement
Learning
Geological
Biological
Crystal
Material
Organization
Influence
Waves
Thermal
Process
Forces
Scale
Dimension
Fields: Q (reactant) · S (substrate) · R (regulator) · P (product) · M (memory) · T (temperature) · G (growth) · θ (orientation)
Modifiers: 123 physics transforms across 12 domains — reaction rates, diffusion constants, forces, wave types, material phases, scale prediction, and more
Distance of influence: 5 diffusion constant deltas control how far each field's effect reaches (contact → broadcast)
Learning: Each chain predicts modifier effects before execution, then measures error and updates weights