FDTD 2D Simulation in Python
A Python library for simulating 2D finite difference time domain (FDTD) problems. Includes examples and documentation.
A Python library for simulating 2D finite difference time domain (FDTD) problems. Includes examples and documentation.
The finite difference time domain (FDTD) method is a numerical analysis technique used for modeling computational electrodynamics. Python implementations are available.
FDFD is a Python package for simulating finite difference time domain problems in one, two, and three dimensions. It provides an efficient and easy-to-use interface.
This paper presents a 2D finite difference time domain simulation using Python and NumPy. The code is available for download and can be used for various applications.
MEEP is a free software package for electromagnetic simulations using the finite difference time domain method. It has a Python interface and can be used for 2D simulations.
This course covers the finite difference time domain method for 2D electromagnetic simulations. It includes Python coding assignments and examples.
PyFDTD is a Python library for finite difference time domain simulations. It provides a simple and efficient way to simulate 2D problems.
This article presents a numerical solution of the Maxwell equations using the finite difference time domain method. It includes a 2D Python implementation.