The Radial Distribution Function (RDF), often denoted as \( g(r) \), is a key concept in physics, chemistry, and materials science, especially for studying the structure of liquids, colloids, glasses, and other disordered systems. It describes how particle density varies as a function of distance from a reference particle, providing insight into the local arrangement and correlations between particles in a system.

Definition:

The RDF, $g(r)$ , is defined as the ratio of the local particle density at a distance $r$ from a reference particle to the average particle density of the entire system:

$$ g(r) = \frac{\text{Number of particles at distance } r \text{ per unit volume}}{\text{Average number of particles per unit volume}}. $$

Mathematical Expression:

For a system with an average number density $\rho$ , the RDF at a distance $r$ is given by:

$$ g(r) = \frac{1}{\rho} \left\langle \frac{dN(r)}{dV(r)} \right\rangle, $$

where:

Interpretation of RDF:

Key Features in RDF Plots:

  1. First Peak: Represents the most probable distance between neighboring particles, providing information about the nearest-neighbor structure (e.g., average bond length in liquids or colloids).
  2. Subsequent Peaks: Indicate second-nearest neighbors, third-nearest neighbors, etc., and help identify medium-range order in the system.
  3. Asymptotic Behavior: At larger distances, $g(r)$ approaches 1, indicating that the correlation between particles vanishes and the distribution becomes homogeneous.