A Python implementation of the 2D Finite-Difference Time-Domain method for simulating electromagnetic waves. The code includes examples and documentation.
The Finite-Difference Time-Domain (FDTD) method is a numerical analysis technique used for modeling computational electrodynamics. This article provides an overview of the method and its applications.
This code implements the 2D FDTD method for simulating electromagnetic waves in Python. It includes a detailed explanation of the algorithm and example usage.
A Q&A thread discussing the implementation of the FDTD method in Python using NumPy. The answers provide example code and explanations of the simulation process.
A video tutorial demonstrating how to implement a 2D FDTD simulation in Python using Matplotlib for visualization. The video includes example code and explanations.
An online course introducing the basics of FDTD simulations, including the mathematical formulation and numerical implementation. The course includes Python code examples and assignments.
A research paper discussing the application of the FDTD method for electromagnetic simulations. The paper includes a detailed explanation of the method and its advantages.
A Python package providing a simple and efficient way to perform FDTD simulations. The package includes example code and documentation.