A Python implementation of the 2D Finite-Difference Time-Domain (FDTD) algorithm for simulating electromagnetic waves. The code includes a simple example of a 2D wave propagation.
The Finite-Difference Time-Domain (FDTD) method is a numerical analysis technique used for modeling computational electrodynamics. The article provides a detailed explanation of the FDTD algorithm and its applications.
This research paper presents a 2D FDTD simulation of electromagnetic waves using Python. The code is available for download, and the paper discusses the implementation details and results of the simulation.
A Python package for simulating electromagnetic waves using the FDTD algorithm. The package includes a 2D simulator and provides example code for getting started with the simulation.
A Q&A thread on implementing the 2D FDTD algorithm in Python. The thread includes example code and discussions on optimizing the simulation for performance.
An online course on computational electromagnetics, including the FDTD method. The course covers the theory and implementation of the FDTD algorithm in 2D and 3D simulations.
A scientific article on numerical simulation of electromagnetic waves using the FDTD method. The article discusses the implementation of the 2D FDTD algorithm in Python and presents results of the simulation.
A video tutorial on simulating electromagnetic waves using the FDTD algorithm in Python. The tutorial covers the basics of the FDTD method and provides a step-by-step guide to implementing the simulation in 2D.