Implementation of the Finite-Difference Time-Domain (FDTD) algorithm for 2D simulations using Python and NumPy. Includes example code and visualizations.
The FDTD method is a numerical analysis technique used for modeling computational electrodynamics. This article provides an overview of the method and its applications.
A Python package for simulating 2D and 3D electromagnetic waves using the FDTD algorithm. Supports various boundary conditions and material properties.
A research paper on the application of the FDTD algorithm for simulating electromagnetic waves in 2D and 3D spaces. Includes results and discussions on the accuracy of the method.
A video tutorial on implementing the FDTD algorithm for 2D simulations using Python and Matplotlib. Covers the basics of the FDTD method and visualization techniques.
A lecture note on the FDTD algorithm for 2D electromagnetic simulations, including the mathematical formulation and implementation details. Part of a course on computational electromagnetics.
An open-source software package for 3D electromagnetic simulations using the FDTD algorithm. Supports various materials, boundary conditions, and output formats.
An online course tutorial on implementing FDTD simulations in Python, covering the basics of the FDTD algorithm, numerical stability, and visualization techniques.