The finite-difference time-domain (FDTD) method is a numerical analysis technique used for modeling computational electrodynamics. Python implementations of FDTD are widely used.
A Python-based FDTD simulator for simulating electromagnetic waves in various media. The code is open-source and well-documented, making it easy to modify and extend.
This paper presents an efficient FDTD algorithm for simulating electromagnetic waves in complex media. The algorithm is implemented in Python and has been tested on various benchmark problems.
This course covers the basics of the FDTD method and its implementation in Python. The course includes video lectures, quizzes, and programming assignments.
This tutorial demonstrates how to perform FDTD simulations using Python and the SciPy library. The tutorial covers the basics of FDTD and provides example code.
This paper presents a Python implementation of the FDTD method for simulating photonic crystals. The code is optimized for performance and includes example simulations.
This documentation provides an overview of the FDTD algorithm and its implementation in Python using the NumPy library. The documentation includes example code and tutorials.
This code provides a Python implementation of the FDTD method for simulating electromagnetic waves. The code is well-documented and includes example simulations.