Search Results for "finite difference"

This software has moved to http://www.poissonboltzmann.org/.

GMES is a free finite-difference time-domain (FDTD) simulation Python package developed at GIST to model photonic devices. Its features include simulation in 1D, 2D, and 3D Cartesian coordinates, distributed memory parallelism on any system supporting the MPI standard, portable to any Unix-like system, variuos dispersive ε(ω) models, CPML absorbing boundaries and/or Bloch-periodic boundary conditions, and arbitrary material and source distributions.

KEMP is a fast FDTD solver on a GPU-based cluster. The FDTD (Finite-Difference Time-Domain) method is a popular numerical method for electromagnetic field simulations. KEMP enables hardware accelerations suitable for multi-GPU, multi-core CPU and GPU cluster. KEMP also provide easy configuration by using Python scripting language.

WOLFSIM is a Finite-Difference Time-Domain electromagnetic simulator, designed to be easy to use but still very powerful, developed and maintained by researchers at North Carolina State University. It's features include: -1D, 2D, and 3D structures that are periodic in 1 or 2 dimensions -Materials that are anisotropic in permittivity and conductivity -Obliquely incident sources -Built-in vectorial (i.e. full polarization) near-to-far-field transformation See these publications for full details on the algorithm: http://www.ece.ncsu.edu/oleg/files-wiki/6/62/SPIE_12_Miskiewicz_wolfsim3D.pdf http://www.ece.ncsu.edu/oleg/files-wiki/1/13/OptExpress07_OH.pdf

This is Incompressible Navier–Stokes 3D simple water simulation with free surface for Computational Fluid Dynamics.Uses Finite difference method and particles.

The parallelized FDTD Schrodinger Solver implements a parallel algorithm for solving the time-independent 3d Schrodinger equation using the finite difference time domain (FDTD) method. See the Hosted Apps > MediaWiki menu item for more information.

WDSolve is a black box solver for nonlinear hyperbolic partial differential equations. WDSolve is based on the Wave Digital method, leading to explicit finite difference schemes with superior stability properties.

This is a graphical computation of the Laplace/Poisson Equation done in VC. You input a multiple rectangular domain and compute the equation using finite difference methods. It is dependent of libParserFunction.

GGGG's a Great Grid Generator (4G) is a boundary fitted, curvilinear, grid generation tool for 2-d finite difference modeling. It is written in Python with the Numeric extensions. Most classes have been written, but it does nothing useful, yet...

Seismic Wave Propagation in 2D acoustic or elastic media using the following methods: Staggered-Grid Finite Difference Method, Spectral Element Method, Interior-Penalty Discontinuous Galerkin Method, and Isogeometric Method.