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YouTube-simulations: Physics Simulations with C

Simulates particle systems, wave equations, molecular dynamics, and percolation using C. Offers visualizations and educational applications for various physics phenomena.
Screenshot of nilsberglund-orleans/YouTube-simulations homepage

YouTube-simulations provides a collection of C code for simulating a range of physical systems. It enables the visualization of phenomena such as particle interactions, wave propagation, molecular dynamics, and percolation processes. The project aims to offer a platform for exploring and understanding these concepts through interactive simulations.

The project's strength lies in its comprehensive coverage of different physical models, each with a dedicated set of simulations. It includes modular code structures, clear compilation instructions, and well-defined subfolders for different simulation types. The inclusion of color mapping routines and support for 3D simulations enhance the visual representation of the results, and the code is designed for efficient execution using OpenMP.

  • Particle Billiards: Simulates particle interactions in billiard-like domains, offering various simulations like particle billiards, drop billiards, and pinball.
  • Wave Equation: Implements simulations of the wave equation in 1D, 2D, and 3D, including comparisons, energy profiles, and animated visualizations.
  • Molecular Dynamics: Simulates molecular dynamics using Lennard-Jones potential, allowing for studying the behavior of particles over time.
  • Percolation: Simulates percolation processes in 2D and 3D, demonstrating concepts of connectivity and cluster formation.
  • Multiple Physics Models: Provides distinct simulation modules for particles, waves, molecular dynamics, and percolation.
  • Visualization: Generates animations of simulation results using FFmpeg, allowing for visual exploration of physical phenomena.
  • OpenMP Support: Leverages OpenMP for parallel processing, enabling faster simulations on multi-core systems.

The project appears to be relatively mature, with a history of commits stretching to late 2025. The code is well-organized into subdirectories for each simulation type, with clear compilation instructions provided. While documentation completeness is not explicitly stated, the presence of parameter files suggests ongoing development and refinement. The project has a reasonable number of stars and forks, indicating community interest.

This project is valuable for students, educators, and researchers interested in visualizing and simulating fundamental physics concepts. It provides a practical tool for understanding concepts in classical mechanics, wave propagation, statistical mechanics, and network theory. It is particularly useful for educational purposes and for prototyping simulation algorithms.

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Stars
789
Forks
60
Issues
5
Created
5 years ago
Commit
3 months ago
License
CC0-1.0
Archived
No
Updated 14 hours ago

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