The finite-difference time-domain (FDTD) method is a numerical analysis technique used for modeling computational electrodynamics. Python implementation can be found in various libraries.
A Python implementation of the FDTD algorithm for simulating electromagnetic waves. The code is well-documented and includes examples for 1D and 2D simulations.
Course notes on numerical methods for electromagnetics, including the FDTD method. Python code examples are provided to illustrate key concepts.
A Python package for simulating electromagnetic waves using the FDTD method. The package includes a simple API for defining simulation parameters and visualizing results.
A research paper on implementing the FDTD algorithm in Python for simulating electromagnetic waves in complex media. The paper includes a detailed description of the implementation and example results.
An online course on electromagnetic simulation using the FDTD method. The course includes Python coding assignments to practice implementing the FDTD algorithm.
A scientific article on the FDTD method for electromagnetic simulation, including a discussion of implementation details and example results. Python code is provided to illustrate key concepts.
A video tutorial on implementing the FDTD algorithm in Python for simulating electromagnetic waves. The video includes a step-by-step guide to writing the code and visualizing the results.