IEEE

Tensor-Train FDTD: Implementation Aspects and Performance Analysis

Abstract: Tensor-train (TT) decompositions have the potential to significantly improve the performance of finite-difference time-domain (FDTD) algorithms in terms of CPU time and memory storage. To ...
GitHub

zhangzh103/Python-FDTD-GPU

These files contain the core implementation of the FDTD solver. The FDTD_Simulator2D class is responsible for running 2D FDTD simulations. It accepts an input of type FDTD_grid to generate the ...
GitHub

Releases: bsxfun/fdtd_tutorial_asa

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.
Scientific Research Publishing

Two-Step Asymmetric Perfectly Matched Layer Model for High-Order Spatial FDTD Solver of 2D Maxwell’s Equations ()

We implemented a two-step Asymmetric Perfectly Matched Layer (APML) model in High-Order Finite Difference Time Domain (FDTD) algorithm for solving two-dimensional Maxwell’s equations. Initially, we ...
Scientific Research Publishing

Suwailam, M.M.B. and Chen, Z.Z. (2004) FDTD Modeling of Lorentzian DNG Meta-Materials with the Z-Transform. In: 3rd International Conference on Computational Electromagnetics ...

ABSTRACT: In this paper, Finite Difference Time Domain (FDTD) is utilized to simulate metamaterials of Double Negative (DNG) origin that refers to those materials having simultaneous negative ...