2D FDTD Simulation in Python
Implementation of the 2D Finite-Difference Time-Domain (FDTD) algorithm in Python for simulating electromagnetic wave propagation.
Implementation of the 2D Finite-Difference Time-Domain (FDTD) algorithm in Python for simulating electromagnetic wave propagation.
The FDTD method is a numerical analysis technique used for modeling computational electrodynamics. Python implementations are commonly used for 2D simulations.
This paper presents an efficient implementation of the FDTD algorithm for 2D electromagnetic simulations using Python, with applications in optics and photonics.
A Python package for simulating 2D electromagnetic waves using the FDTD algorithm, with support for various boundary conditions and material properties.
This course covers the basics of FDTD simulations, including a 2D Python implementation, and is suitable for students and professionals in electrical engineering and physics.
This article presents a Python implementation of the FDTD algorithm for simulating 2D photonic crystals, with applications in optical communication systems.
A community-driven implementation of the 2D FDTD algorithm in Python using NumPy, with example code and explanations for beginners.
This course website provides resources and tutorials for implementing FDTD simulations in Python, including 2D examples and projects for students in electrical engineering.