An interactive FDTD simulation using Python and Plotly for visualization. The code implements a 1D FDTD algorithm and visualizes the results using Plotly's interactive plots.
The finite-difference time-domain (FDTD) method is a numerical analysis technique used for modeling computational electrodynamics. Python code and Plotly visualization can be used to simulate and visualize FDTD results.
This research paper presents a Python implementation of the FDTD method with interactive visualization using Plotly. The code is available for download and can be used for various electromagnetic simulations.
This online course covers the basics of FDTD simulation and visualization using Python and Plotly. The course includes interactive coding exercises and assignments to help learners practice their skills.
Plotly can be used to create interactive visualizations for FDTD simulations. This tutorial provides examples of how to use Plotly to visualize FDTD results and create interactive plots.
This online course covers the basics of FDTD simulation using Python. The course includes lectures, assignments, and discussions on how to implement FDTD algorithms and visualize the results using Plotly.
This article presents an example of how to create an interactive FDTD simulation using Python and Plotly. The code is available for download and can be used as a starting point for more complex simulations.
This repository contains Python code for FDTD simulation and visualization using Plotly. The code is well-documented and includes examples of how to use the FDTD algorithm and visualize the results.