![python fdtd python fdtd](https://www.matecdev.com/img/bempp.png)
- #PYTHON FDTD SOFTWARE#
- #PYTHON FDTD CODE#
- #PYTHON FDTD LICENSE#
- #PYTHON FDTD DOWNLOAD#
- #PYTHON FDTD FREE#
For typical simulations, tens to hundreds of megabytes in memory are updated each step. As ofif frequency-domain solver is to be used, one has to compile the latest version from source see above. Python-meep needs however to be still built, and I added a little fix to its building script that had to be done in Ubuntu I tested this for the MPI-enabled version only, but it should work with the non-mpi one, too.
#PYTHON FDTD DOWNLOAD#
The same holds for older Ubuntu Hereby I thank Martin Fiers for his kind help with the installation process.įailsave alternative: download the 1. The following compilation procedure has been tested on Debian-based Linux distributions, but there should be no principial limitation in running meep and python-meep on and other systems, too. It was tested to work flawlessly on many systems, so in case of any problems, write me an e-mail and I will try to fix it. If our simulation environment was built without support for multiprocessing, it would be simply called meep and imported as import meep.Īll these steps are covered by the following blue box, so you may simply copy the commands to your terminal. They seem to work the same, so for simplicity, we choose the latter and compile everything with support for MPI. The python-meep interface has always to be compiled against the MEEP binary present in the system. Get inspired and reuse them as you need! Before we get to writing the first simulation, we will discuss the installation procedure and multiprocessing. I will simply try to provide the reader with several working examples. The reason why I chose the Python interface lies in my preference of Python syntax as well as in many excellent Python modules available scipymatplotlib and mayavi2 will be used in the examples here. One of the interfaces is python-meep with its official website at Ghent university. The examples here are based on the python-meep interface. I will try to provide the reader with a module and examples that should help to focus on the scientific part of the task.
![python fdtd python fdtd](https://chenglongresearch.weebly.com/uploads/1/9/9/4/19942735/4589974.png)
On the other hand, it may be quite disappointing to start using MEEP: Setting up a realistic simulation is usually a challenging scientific task on its own, and with MEEP one also needs to write a working code.
#PYTHON FDTD SOFTWARE#
This has a good purposeas experienced users may employ MEEP for problems where more user-friendly simulation software does not provide enough versatility e. MEEP is controlled by command-line interface which requires some programming. It can compute the propagation of an electromagnetic wave through very complicated structures, using realistic material models including dispersion, conductivity, anisotropy or nonlinearitiesdistributed computing and combination of time-domain and frequency-domain solver. I use the python-meep interface for all examples presented. Problem dependent (a simulation with real valued electromagnetic field takes typically about 0.16 μs per Yee cell per time-step.Installation procedure, basic simulation, material definition and some advanced features are discussed. The most recent version can be downloaded at the GMES project homepage. Nature of problem: Classical electrodynamicsįinite-difference time-domain (FDTD) method RAM: Problem dependent (a simulation with real valued electromagnetic field uses roughly 0.18 KB per Yee cell.)Įxternal routines: SWIG, Cython, NumPy, SciPy, matplotlib, MPI for Python Parallelized with MPI directives (optional).
#PYTHON FDTD CODE#
Has the code been vectorized or parallelized?: Yes. Operating system: Any Unix-like system developed under Ubuntu 12.04 LTS 64 bit. of bytes in distributed program, including test data, etc.: 89878Ĭomputer: Any computer with a Unix-like system with a C++ compiler, and a Python interpreter developed on 2.53 GHz Intel Core TM i3. of lines in distributed program, including test data, etc.: 17700
#PYTHON FDTD LICENSE#
Licensing provisions: GNU General Public License v3.0 Program obtainable from: CPC Program Library, Queen’s University, Belfast, N. The key design features, along with the supported material types, excitation sources, boundary conditions and parallel calculations employed in GMES are also described in detail. The users can easily add various material types, sources, and boundary conditions into their code using the Python programming language. This piecewise updating scheme ensures that GMES can adopt OOP without losing its simple structure and time-stepping speed.
![python fdtd python fdtd](https://media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs12859-015-0764-0/MediaObjects/12859_2015_764_Fig1_HTML.gif)
The design of GMES follows the object-oriented programming (OOP) approach and adopts a unique design strategy where the voxels in the computational domain are grouped and then updated according to its material type.
#PYTHON FDTD FREE#
This paper describes GMES, a free Python package for solving Maxwell’s equations using the finite-difference time-domain (FDTD) method.