Finite-Difference Time-Domain Method for 2D Simulation
This article presents an implementation of the finite-difference time-domain (FDTD) method for 2D simulation in Python, with applications in electromagnetics and photonics.
This article presents an implementation of the finite-difference time-domain (FDTD) method for 2D simulation in Python, with applications in electromagnetics and photonics.
A Python package for simulating 2D and 3D electromagnetic phenomena using the FDTD method, including examples and documentation.
This research paper discusses the simulation of 2D photonic crystals using the FDTD method, with a focus on Python implementation and optimization techniques.
This online course covers the fundamentals of the FDTD method for 2D electromagnetic simulation, including Python coding exercises and assignments.
A Q&A thread on Stack Overflow providing example Python code for a 2D FDTD simulation, with explanations and discussions on optimization and accuracy.
A tutorial on implementing the FDTD method in Python using NumPy, covering the basics of the algorithm and its application to 2D simulation.
An edX course module covering the implementation of 2D FDTD simulation using Python and Matplotlib, with a focus on data visualization and analysis.
A research paper discussing optimization techniques for 2D FDTD simulation in Python, including parallelization and cache optimization methods.