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AI-generated index
Finite-Difference Time-Domain Method for Electromagnetic Simulations
This article presents a Python implementation of the FDTD algorithm for simulating electromagnetic waves. The code is based on the finite-difference time-domain method and can be used to model various electromagnetic phenomena.
FDTD Simulation of Electromagnetic Waves using Python
A Python package for simulating electromagnetic waves using the FDTD algorithm. The package includes examples and tutorials for simulating various electromagnetic phenomena, including wave propagation and scattering.
R
researchgate.net
research
Electromagnetic Simulation using FDTD Method
This research paper presents a study on the application of the FDTD algorithm for simulating electromagnetic waves. The paper includes a Python implementation of the algorithm and discusses its accuracy and efficiency.
S
stackoverflow.com
article
Python Code for FDTD Simulation of Electromagnetic Waves
A Q&A forum discussion on implementing the FDTD algorithm in Python for simulating electromagnetic waves. The discussion includes example code and advice from experts in the field.
FDTD Algorithm for Electromagnetic Simulation
A lecture note on the FDTD algorithm for electromagnetic simulation, including a Python implementation. The note covers the theoretical background and numerical implementation of the algorithm.
Simulating Electromagnetic Waves using FDTD Method in Python
A video tutorial on simulating electromagnetic waves using the FDTD algorithm in Python. The tutorial covers the basics of the algorithm and its implementation in Python.
FDTD Simulation of Electromagnetic Waves in Python
A scientific article on using the SciPy library in Python for simulating electromagnetic waves using the FDTD algorithm. The article includes example code and discusses the efficiency of the implementation.
Electromagnetic Simulation using Python and FDTD Method
An online course on electromagnetic simulation using the FDTD algorithm in Python. The course covers the theoretical background and numerical implementation of the algorithm, including example code and assignments.