Implementation of the FDTD algorithm in Python for solving Maxwell's equations, including example code and documentation.
The finite difference time domain (FDTD) method is a numerical analysis technique used for solving partial differential equations, including those describing electromagnetic phenomena.
This paper presents an implementation of the FDTD algorithm in Python for simulating electromagnetic wave propagation in various media, including free space and dielectric materials.
This online course covers the basics of the FDTD method and provides hands-on experience with implementing the algorithm in Python for simulating electromagnetic phenomena.
This article presents a Python implementation of the FDTD algorithm for simulating electromagnetic wave propagation in various environments, including urban and rural areas.
This lecture note covers the FDTD method for solving Maxwell's equations, including the mathematical formulation and implementation details in Python.
PyFDTD3D is a Python library for simulating electromagnetic wave propagation using the FDTD method, including support for 3D simulations and visualization tools.
This preprint presents a numerical solution of electromagnetic problems using the FDTD method, including implementation details in Python and comparison with analytical solutions.