Please use this identifier to cite or link to this item: https://doi.org/10.1002/mop.22962
Title: Convolutional perfectly matched layer for weakly conditionally stable hybrid implicit and explicit-FDTD method
Authors: Ahmed, I.
Li, E.-P. 
Keywords: ADI-FDTD
CFL
CPML
Explicit
FDTD
HIE-FDTD
Implicit
Issue Date: Dec-2007
Source: Ahmed, I., Li, E.-P. (2007-12). Convolutional perfectly matched layer for weakly conditionally stable hybrid implicit and explicit-FDTD method. Microwave and Optical Technology Letters 49 (12) : 3106-3109. ScholarBank@NUS Repository. https://doi.org/10.1002/mop.22962
Abstract: In this article, we developed and implemented the convolutional perfectly matched layer (CPML) for the hybrid implicit explicit finite-difference time-domain (HIE-FDTD) method. The method is validated against the conventional FDTD-PML method and is found promising. The development of CPML is able to extend the HIE-FDTD to open surface problems, which works at higher CFL numbers in comparing to the conventional FDTD method. © 2007 Wiley Periodicals, Inc.
Source Title: Microwave and Optical Technology Letters
URI: http://scholarbank.nus.edu.sg/handle/10635/55435
ISSN: 08952477
DOI: 10.1002/mop.22962
Appears in Collections:Staff Publications

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