A physics-based simulation engine that models and animates fundamental classical systems using numerical methods and real-time visualization.
This project serves as a structured implementation of core physics concepts through code. Each simulation represents a different physical system built from first principles and solved numerically.
- Understand the physics behind each system
- Translate equations into code
- Simulate using time-step integration
- Visualize results through animation
- Iterate and refine for accuracy
- Projectile Motion — 2D motion under gravity
- Simple Pendulum — Angular oscillatory motion
- Spring-Mass System — Harmonic motion using Hooke’s Law
- Time-based simulation (dt stepping)
- Numerical integration (Euler / Semi-Implicit Euler)
- State modeling (position, velocity, acceleration)
- Trigonometry in motion systems
- Oscillatory dynamics
- User-defined input parameters
- Real-time animation using Matplotlib
- Multiple physics systems in one program
- Clear separation of logic and visualization
- Python
- Matplotlib
Time taken to make this project: 2 days
- Build strong intuition in physics simulation
- Develop ability to model real-world systems
- Strengthen problem-solving through implementation
- Prepare for advanced domains like simulation, AI, and systems
- Add damping and friction
- Energy visualization (Kinetic + Potential)
- Phase space plots (position vs velocity)
- Double pendulum (chaotic motion)
- Convert into a modular engine architecture
Master-Zero1