This repository provides a Python script for FDTD simulation using the NumPy library and visualization with Plotly. The example includes a 1D simulation of a Gaussian pulse propagating through a homogeneous medium.
The finite-difference time-domain (FDTD) method is a numerical analysis technique used for modeling computational electrodynamics. This article provides an overview of the FDTD method, including its applications and limitations.
This paper presents a Python script for FDTD simulation of electromagnetic waves using the FDTD method and visualization with Plotly. The script is applied to a 2D simulation of a waveguide.
This course provides an introduction to the FDTD method and its implementation in Python. The course includes a module on visualization with Plotly, where students learn to create interactive visualizations of their simulation results.
This example demonstrates how to use Plotly to visualize the results of an FDTD simulation. The example includes a 3D visualization of a wave propagating through a heterogeneous medium.
This course covers the fundamentals of the FDTD method and its application to electromagnetic simulation. The course includes a section on visualization, where students learn to use Plotly to create interactive visualizations of their simulation results.
This repository provides a Python script for FDTD simulation using the NumPy library and visualization with Plotly. The script includes a example of a 2D simulation of a waveguide with a perfectly matched layer (PML) boundary condition.
This video tutorial demonstrates how to perform an FDTD simulation using Python and visualize the results with Plotly. The tutorial covers the basics of the FDTD method and provides a step-by-step guide to creating interactive visualizations.