FDTD Simulation using Python
A Python implementation of the Finite-Difference Time-Domain method for simulating electromagnetic waves. This repository includes examples and documentation.
A Python implementation of the Finite-Difference Time-Domain method for simulating electromagnetic waves. This repository includes examples and documentation.
The FDTD method is a numerical analysis technique used for modeling computational electrodynamics. It is widely used in simulations of electromagnetic waves.
This paper presents a Python implementation of the FDTD method for simulating electromagnetic waves. The code is available on GitHub and can be used for various applications.
A tutorial on how to implement the FDTD method using Python and NumPy. The article includes examples and code snippets for simulating electromagnetic waves.
OpenEMS is an open-source FDTD simulator that can be used for simulating electromagnetic waves. It includes a Python interface and can be used for various applications.
Meep is a free-software package for electromagnetic simulations using the FDTD method. It includes a Python interface and can be used for various applications.
A Python implementation of the FDTD method for simulating photonic crystals. The code includes examples and documentation for simulating electromagnetic waves in periodic structures.
A video tutorial on how to implement the FDTD method using Python and Matplotlib. The video includes examples and code snippets for simulating electromagnetic waves.