Meep is a free and open-source software package for simulating electromagnetic waves using the finite-difference time-domain (FDTD) method. It can be used to model a wide range of electromagnetic phenomena, including waveguides, antennas, and optical devices.
This article provides an overview of the finite-difference time-domain (FDTD) method for simulating electromagnetic waves. It discusses the basic principles of the method, its advantages and limitations, and its applications in various fields, including optics and photonics.
This paper presents a Python implementation of the FDTD method for simulating electromagnetic waves. The code is designed to be flexible and efficient, allowing users to easily model and simulate various electromagnetic phenomena.
This video tutorial demonstrates how to use Meep to simulate electromagnetic waves using Python. It covers the basics of Meep, including how to define simulation parameters, create geometric structures, and visualize results.
This paper presents a numerical study of electromagnetic wave propagation using the FDTD method and Python. The simulation is performed using NumPy, and the results are compared with analytical solutions to validate the accuracy of the method.
This course covers the basics of electromagnetic simulation using the FDTD method and Meep. It includes lectures, assignments, and projects to help students learn how to model and simulate electromagnetic phenomena using Python and Meep.
This is an open-source Python package for simulating electromagnetic waves using the FDTD method. It includes a range of features, including support for 1D, 2D, and 3D simulations, and can be used to model various electromagnetic phenomena, including waveguides and antennas.
This is the official documentation for the Meep Python interface. It provides a comprehensive overview of the Meep API, including how to define simulation parameters, create geometric structures, and visualize results. It also includes examples and tutorials to help users get started with Meep.