There are plenty of exciting physics-related simulations you can code for a university project. Here are some ideas that you might find interesting:
Molecular Dynamics Simulation: Implement a simulation that models the motion of atoms and molecules based on classical mechanics principles. You can explore properties like energy, temperature, and pressure in different systems.
N-Body Simulation: Develop a simulation that simulates the motion of a collection of particles (such as stars or galaxies) interacting through gravitational forces. This type of simulation can be used to study celestial mechanics and galaxy formation.
Quantum Monte Carlo Simulation: Create a simulation that uses Monte Carlo methods to solve quantum mechanical problems, such as the ground state of a quantum system or the behavior of particles in a potential well.
Fluid Dynamics Simulation: Build a simulation that models the behavior of fluids, such as water or air, using computational fluid dynamics (CFD) techniques. You can explore fluid flow, turbulence, and the effects of different boundary conditions.
Particle Physics Simulation: Develop a simulation that models particle interactions in high-energy physics experiments. You can simulate particle collisions and study phenomena like the decay of particles or the production of new particles.
Optics Simulation: Create a simulation that explores the behavior of light in different optical systems, such as lenses, mirrors, and waveguides. You can study phenomena like refraction, diffraction, and interference.
Chaotic Systems Simulation: Implement a simulation that models chaotic systems, such as the double pendulum or the Lorenz system. Explore the sensitive dependence on initial conditions and the long-term behavior of these systems.
Fractals and Self-Similarity: Code a simulation that generates fractal patterns, such as the Mandelbrot set or the Julia set. Explore the self-similarity and intricate structures that emerge from simple iterative processes.
Network Simulation: Build a simulation that models network dynamics, such as the spread of diseases or the diffusion of information in social networks. Use concepts from statistical physics and graph theory to analyze network properties.
Quantum Computing Simulation: Develop a simulation that simulates the behavior of quantum bits (qubits) and quantum gates. Explore quantum algorithms and analyze the advantages of quantum computing over classical computation.
These are just a few ideas to get you started. Depending on your interests and the resources available, you can choose a simulation project that aligns with your specific goals and expertise. Remember to consider the computational complexity and scope of the project when selecting an idea.