A Python implementation of the 2D Finite-Difference Time-Domain (FDTD) algorithm for simulating electromagnetic waves. Includes example usage 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 paper presents a 2D FDTD simulation of electromagnetic waves using Python. The simulation is used to model the propagation of electromagnetic waves in a vacuum and in a dielectric medium.
This article presents an FDTD algorithm for simulating 2D electromagnetic waves. The algorithm is implemented in Python and is used to model the propagation of electromagnetic waves in various media.
A Python implementation of the 2D FDTD algorithm. The code includes example usage and is well-documented. Users can ask questions and provide feedback on the code.
This course provides an introduction to FDTD simulations using Python. The course covers the basics of the FDTD method and its application to electromagnetic simulations.
This example demonstrates how to use NumPy to implement a 2D FDTD simulation in Python. The code is well-documented and includes example usage.
This course covers the basics of FDTD simulations for electromagnetic waves. The course includes lectures, assignments, and discussions on the topic. Python code is provided for example simulations.