Running time:Problem dependent (a simulation with real valued electromagnetic field takes typically about 0.16 μs per Yee cell per time-step.)References:SWIG. Since FDTD is a time domain technique, it can produce. The most recent version can be downloaded at the GMES project homepage. Penetrable dielectric and magnetic materials are handled in FDTD as well as complex geometries. Parallelized with MPI directives (optional).RAM: Problem dependent (a simulation with real valued electromagnetic field uses roughly 0.18 KB per Yee cell.)Classification: 10.External routines: SWIG, Cython, NumPy, SciPy, matplotlib, MPI for Python Nature of problem: Classical electrodynamicsSolution method:Finite-difference time-domain (FDTD) methodAdditional comments:This article describes version 0.9.5.
#Python fdtd code#
of bytes in distributed program, including test data, etc.: 89878Distribution format: tar.gzProgramming language: C++, Python.Computer: Any computer with a Unix-like system with a C++ compiler, and a Python interpreter developed on 2.53 GHz Intel Core TM i3.Operating system: Any Unix-like system developed under Ubuntu 12.04 LTS 64 bit.Has the code been vectorized or parallelized?: Yes. of lines in distributed program, including test data, etc.: 17700No.
#Python fdtd license#
IrelandLicensing provisions: GNU General Public License v3.0No. 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.Program title: GMESCatalog identifier: AEOK_v1_0Program summary URL: obtainable from: CPC Program Library, Queen’s University, Belfast, N. 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. 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#
Table of Contentsġ One-Dimensional Simulation with the FDTD Method 1ġ.1 One-Dimensional Free-Space Simulation 1ġ.3 The Absorbing Boundary Condition in One Dimension 6ġ.7 Propagation in a Lossy Dielectric Medium 11Ģ.1 Reformulation Using the Flux Density 25Ģ.2 Calculating the Frequency Domain Output 28Ģ.3.1 Auxiliary Differential Equation Method 35Ģ.4.1 Simulation of Unmagnetized Plasma 38Ģ.5.1 Simulation of Human Muscle Tissue 45ģ.3.1 A Plane Wave Impinging on a Dielectric Cylinder 74Ĥ.3 Total/Scattered Field Formulation in Three Dimensions 105Ĥ.3.1 A Plane Wave Impinging on a Dielectric Sphere 107Ħ Deep Regional Hyperthermia Treatment Planning 159Ħ.2.This paper describes GMES, a free Python package for solving Maxwell’s equations using the finite-difference time-domain (FDTD) method. Radio Imaging Method electric field biomedical measurement FDTD Python.
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Topics covered in include one-dimensional simulation with the FDTD method, two-dimensional simulation, and three-dimensional simulation.
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Some basic applications of signal processing theory are explained to enhance the effectiveness of FDTD simulation. This third edition utilizes the Python programming language, which is becoming the preferred computer language for the engineering and scientific community.Įlectromagnetic Simulation Using the FDTD Method with Python, Third Edition is written with the goal of enabling readers to learn the FDTD method in a manageable amount of time. Included projects increase in complexity, ranging from simulations in free space to propagation in dispersive media. Each chapter contains a concise explanation of an essential concept and instruction on its implementation into computer code. This book allows engineering students and practicing engineers to learn the finite-difference time-domain (FDTD) method and properly apply it toward their electromagnetic simulation projects. Provides an introduction to the Finite Difference Time Domain method and shows how Python code can be used to implement various simulations