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Particles are not passive tracers—they actively modify the chemical fields through **consumption** and **production**. This creates bidirectional coupling and enables emergent feedback dynamics.
## Equations
Particles locally consume field 1 and produce (or consume) field 2:
where $w(r) = \exp(-r^2 / 2r_{\text{inf}}^2)$ is a Gaussian influence kernel centered on each particle.
## Parameters
| Symbol | Description | Typical Value |
|--------|-------------|---------------|
| $\gamma_c$ | Consumption rate | 180 |
| $\gamma_p$ | Production rate | -180 |
| $r_{\text{inf}}$ | Influence radius | 0.05 |
## Feedback Loop
The particle–field coupling creates a feedback loop:
1. Fields develop gradients (Turing patterns)
2. Particles migrate along gradients (diffusiophoresis)
3. Particles modify local concentrations (consumption/production)
4. Modified fields change gradient landscape
5. Repeat...
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## Coupling Challenge
For Gray-Scott, particle consumption can overwhelm the slow $UV^2$ production, causing field instability. Brusselator's stronger reaction rates are more robust to particle feedback.