The Finite-Difference Time-Domain (FDTD) method is a popular numerical technique for solving Maxwell's equations. NumPy can be used to implement FDTD for electromagnetic simulations.
This repository provides a Python implementation of the FDTD method using NumPy for electromagnetic simulations. It includes examples and documentation for getting started.
This paper presents a study on the application of the FDTD method for electromagnetic simulations. The authors used NumPy to implement the FDTD algorithm and compared the results with analytical solutions.
NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.
The FDTD method is a widely used technique for solving Maxwell's equations. This article provides an overview of the FDTD method and its application in electromagnetic simulations.
A Python package for simulating electromagnetic waves using the FDTD method. It uses NumPy for efficient numerical computations and provides a simple interface for defining simulation parameters.
This course covers the basics of electromagnetic simulations using the FDTD method. It includes lectures on numerical methods, Maxwell's equations, and implementation using Python and NumPy.
This preprint presents a study on the application of the FDTD method for simulating electromagnetic waves in complex media. The authors used NumPy to implement the FDTD algorithm and presented results for various simulation scenarios.