CS 489 - Stochastic Techniques for Image Synthesis and Biomedical Applications

Final Project

This report presents the implementation of a model (Henry et al.) that detects and treats collisions between particles undergoing a diffusive trajectory. The main motivation is to simulate the Brownian motion that particles undergo and account for the potential collision that may occur inbetween a time step, something a classical ballistic model fails to do. The collision event is determined via a probability calculated based on relative and final positions of the two particles.

This project is intended to be a simulation of the first step of agglomeration and is to be paired with another model that simulates the second step: formation of a larger particle from two smaller particles.