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simulations

Simulation refers to the process of creating a virtual model of a real-world system to study its behavior and performance under various conditions. This topic covers the principles, methodologies, and applications of simulation in fields such as engineering, science, healthcare, and social sciences. Simulations can range from simple models to complex, interactive environments, allowing researchers and practitioners to test hypotheses, train individuals, and predict outcomes without the risks or costs associated with real-world experiments. The topic also explores different types of simulation software and tools, as well as best practices for designing and validating simulations.

Here are 63 public repositories matching this topic...

Easy-to-use wrapper for the Geant4 library for Monte Carlo radiation transport in matter. Possible to use either from the command line or from within Python/Jupyter. This makes estimating energy deposition from a particle beam in a target or the scattering and energy loss of the beam particles a relatively straight-forward process.

  • Updated Nov 5, 2024
  • C++

This repository contains a collection of Arduino Projects and Code Examples. All the files provided here have been tested and simulated using the Proteus software. Additionally, includes Proteus libraries, footprints, and 3D CAD models for components where required, making it a comprehensive resource for anyone working with Arduino and Proteus.

  • Updated Sep 20, 2024
  • C++

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