Finite-Difference Time-Domain Method
The finite-difference time-domain (FDTD) method is a numerical analysis technique used for modeling computational electrodynamics. Python code implementations are available.
The finite-difference time-domain (FDTD) method is a numerical analysis technique used for modeling computational electrodynamics. Python code implementations are available.
A Python implementation of the FDTD method for simulating electromagnetic waves. The code includes examples and documentation for users.
A research paper discussing the development of an FDTD simulator in Python for modeling optical devices. The code is available for download.
An online course covering the FDTD method for electromagnetic simulation, including Python code examples and assignments.
A publication providing Python code for FDTD simulation of electromagnetic waves, including examples and results.
A tutorial on using Python and NumPy for FDTD simulation, covering the basics of the FDTD method and providing example code.
An open-source FDTD simulator implemented in Python, providing a user-friendly interface and example simulations.
A tutorial on using Python for FDTD simulation of photonic devices, including examples and code snippets.