PPolySim OS
Biology & Aerospace Pack · Multi-Solver

Tumor Growth

Proliferation & dose. This multi-solver chains 2 solvers into a single guided workflow — run each step in order and carry the result forward.

Workflow steps
  1. logistic-growth
  2. reaction-diffusion
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1

Logistic Growth

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Logistic Population GrowthLive

Controls

Presets

Exponential growth assumes unlimited resources and explodes without bound. Logistic growth adds a carrying capacity K: as the population nears K, growth slows and levels off in a characteristic S-curve. It is the foundation of ecology, epidemiology, and resource management.

▶ Run in Python

Data Inspector

Carrying capacity1000
Max growth atN = 500
Growth rate r0.50

Governing equation

Reading this result: Classic S-curve: from N₀=20 the population grows fastest as it crosses the inflection point N=K/2=500, then decelerates and levels off at the carrying capacity K=1000.

Runs locally in your browser — free forever. Scale to the cloud when reality gets heavy.

2

Reaction Diffusion

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Reaction-Diffusion (Gray-Scott)Live

Controls

Presets

Two chemicals diffuse and react by the Gray-Scott equations. Different feed and kill rates spontaneously form spots, stripes, and mazes — the mechanism Alan Turing proposed for animal coat patterns.

▶ Run in Python

Data Inspector

Feed F0.0545
Kill k0.0620
Steps0

Governing equation

Reading this result: High feed (F=0.0545): abundant substrate lets spots grow and merge into branching maze and coral networks.

Runs locally in your browser — free forever. Scale to the cloud when reality gets heavy.

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Frequently asked questions

What is the Tumor Growth multi-solver?
Tumor Growth is a guided workflow that chains 2 individual PolySim solvers into one end-to-end analysis, piping each result into the next step.
Is it free to use?
Yes. Every step runs entirely in your browser using real numerics — no install, no account, no cloud cost. Custom or private solver packs are available as a paid service.