The finite-difference time-domain (FDTD) method is a numerical analysis technique used for modeling computational electrodynamics. Python implementations are available.
A Python package for simulating the FDTD algorithm, including 1D, 2D, and 3D simulations. The package provides an easy-to-use interface for setting up and running FDTD simulations.
This course covers numerical methods for solving electromagnetic problems, including the FDTD method. Python code examples are provided for each method.
A Python package for simulating the FDTD algorithm. The package provides a simple and efficient way to simulate electromagnetic waves in various media.
This article presents an overview of the FDTD algorithm and its application to electromagnetic simulation. A Python implementation of the algorithm is provided.
This video demonstrates how to simulate electromagnetic waves using the FDTD algorithm in Python. The video covers the basics of the FDTD method and provides example code.
OpenEMS is an open-source FDTD simulator that can be used for simulating electromagnetic waves. The simulator has a Python interface and can be used for a variety of applications.
This course covers the FDTD method for computational electromagnetics. The course includes lectures, assignments, and projects, all of which use Python for implementation.