HomeArticlesGenerative Art & Algorithmic Patterns

Random Growth: Exploring Eden Model and Diffusion-Limited Aggregation

Discover the fascinating world of self-organized criticality through these two models of surface growth.

mysimulator teamUpdated June 2026≈ 3 min read▶ Open the simulation

What is Random Growth?

Random growth refers to the process by which a surface evolves over time through the addition of particles. Two prominent models used to study this phenomenon are the Eden model and Diffusion-Limited Aggregation (DLA).

The Eden model represents uniform surface growth, where each new particle is added at the boundary in a random direction, leading to compact clusters. In contrast, DLA involves particles diffusing randomly until they stick to an existing cluster, resulting in intricate fractal structures.

Understanding Eden Model and DLA

The Eden model is based on a simple rule: each new particle attaches to the boundary of the growing cluster. This uniform growth results in compact, smooth clusters with no branching or fractal features.

DLA, on the other hand, models how particles aggregate due to random diffusion and sticking to an existing cluster. The resulting structures are highly branched and exhibit self-similarity at different scales, making them fractals.

live demo · related simulation● LIVE

Why Does It Matter?

These models help us understand natural phenomena such as snowflakes, crystal growth, and even biological processes like tumor growth. They also have applications in materials science and the study of complex systems.

By studying these patterns, scientists can gain insights into how to control or manipulate growth processes for practical purposes.

Real-World Examples

Snowflakes form through a process similar to DLA, where water vapor molecules randomly attach to an ice crystal, leading to the formation of intricate fractal structures.

In materials science, understanding these growth patterns can help in designing new materials with specific properties, such as porous ceramics or self-healing polymers.

Frequently asked questions

What is self-organized criticality?

Self-organized criticality describes a phenomenon where a system spontaneously organizes itself into a critical state without any external control, leading to scale-invariant behavior and fractal structures.

How does DLA differ from Eden model in terms of growth patterns?

DLA results in highly branched, fractal structures due to random diffusion and sticking, while the Eden model produces compact, smooth clusters with uniform growth.

Why are fractals important in nature and technology?

Fractals are important because they can describe complex natural phenomena and have practical applications in fields such as image compression, computer graphics, and material science.

Can Eden model be used to predict the growth of biological systems?

While not directly applicable, the Eden model's principles can provide insights into certain aspects of biological growth processes, but more complex models are typically needed for accurate predictions.

Try it live

Everything above runs in your browser — open Random Growth — Eden Model & DLA Fractal and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.

▶ Open Random Growth — Eden Model & DLA Fractal simulation

What did you find?

Add reproduction steps (optional)