A Python implementation of the 2D Finite-Difference Time-Domain (FDTD) method for simulating electromagnetic waves. Includes example code and visualization tools.
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 in Python for simulating electromagnetic waves. It includes examples for simulating wave propagation in free space and in a dielectric medium.
A video tutorial on implementing the FDTD method in Python using NumPy for simulating electromagnetic waves in 2D. The video includes example code and explanations of the underlying physics.
An open-source repository containing example code for a 2D FDTD simulation in Python. The code includes a simple implementation of the FDTD method and visualization tools using Matplotlib.
An online course covering numerical methods for electromagnetics, including the FDTD method. The course includes example code in Python and MATLAB for simulating electromagnetic waves in 2D.
A scientific article discussing the application of the FDTD method for simulating electromagnetic waves in various fields, including optics and microwave engineering. The article includes example code in Python.
An article published in the ACM Journal on Educational Resources in Computing, presenting a Python implementation of the 2D FDTD method for educational purposes. The code is designed to be simple and easy to understand.