This project was designed to get to grips with the methods of computational neuroscience. Using provided data, I compared two different laws that describe how a liquid drop spreads out over a surface to determine the most accurate law. This was done using a least square regression fit and reduced chi-squared analysis.
This project tested multiple different models for damped harmonic oscillators using numerical integration. Forced and driven systems were then explored.
This project was about modelling the attenuation, scattering and transmission of neutrons through different materials. A big part of this project was to reduce complexity and runtime in order to simulate 10000 neutrons over 3 runs to calculate percentages. Using these results I then found the mean free path for the different materials.