Dyad vs Modelica Cheatsheet

A comprehensive quick reference guide comparing Dyad (Julia-based modeling) and Modelica for acausal component-based modeling and simulation.

View the Cheatsheet

📚 Overview

This cheatsheet provides side-by-side comparisons of modeling approaches between:

• Dyad - New Scientific Machine Learning (SciML) and AI-enhanced modeling language.
• Modelica - Object-oriented modeling language for complex systems

Topics Covered

• Basic Syntax
• Defining Components
• Data Inputs & Interpolation
• Components & Models
• Functions & Algorithms
• Analysis Points
• Analyzing Models
• Composite Models using Standard Library

🧪 Examples

Example models are provided in the cheatsheet demonstrating:

• Simple electrical circuits (RC, RLC)
• Mechanical systems (mass-spring-damper)

🤝 Contributing

Contributions are welcome! Please feel free to submit pull requests with:

• Additional examples
• Corrections or improvements
• New topics relevant to scientific computing

🔗 Resources

Dyad/Julia

• Dyad Documentation
• ModelingToolkit.jl Documentation
• DifferentialEquations.jl
• Julia Documentation

Modelica

• Modelica Language Specification
• Modelica Standard Library
• OpenModelica
• Dymola