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Comprehensive Study on Numerical Aspects of Modified Lorentz Model-Based Dispersive FDTD Formulations

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dc.contributor.authorChoi, Hongjin-
dc.contributor.authorBaek, Jae-Woo-
dc.contributor.authorJung, Kyung-Young-
dc.date.accessioned2021-08-02T10:28:04Z-
dc.date.available2021-08-02T10:28:04Z-
dc.date.created2021-05-12-
dc.date.issued2019-12-
dc.identifier.issn0018-926X-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/11613-
dc.description.abstractFinite-difference time domain (FDTD) has been widely used to analyze electromagnetic wave interaction with dispersive media. It is of great necessity to incorporate a dispersion model into FDTD formulation for electromagnetic wave analysis of dispersive media. Recently, it was reported that the modified Lorentz model can cover Debye, Drude, Lorentz, critical point, and quadratic complex rational function models. In this work, it is illustrated that the modified Lorentz model can also cover the complex-conjugate pole-residue model which is one of the most popular dispersion models. Modified Lorentz-based dispersive FDTD has not been thoroughly studied, especially for numerical aspects. In this work, we investigate auxiliary differential equation (ADE)-FDTD formulations for the modified Lorentz model based on electric flux density (D), current (J), or polarization (P). We perform a comprehensive study on memory requirement, the number of arithmetic operations, numerical stability, and numerical permittivity for the above three ADE-FDTD formulations. In addition, the bilinear transformation (BT) is incorporated into modified Lorentz-based FDTD formulations and it will be shown that the utilization of the BT can lead to better performance in terms of numerical stability and numerical accuracy. Numerical examples are used to demonstrate our work.-
dc.language영어-
dc.language.isoen-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.titleComprehensive Study on Numerical Aspects of Modified Lorentz Model-Based Dispersive FDTD Formulations-
dc.typeArticle-
dc.contributor.affiliatedAuthorJung, Kyung-Young-
dc.identifier.doi10.1109/TAP.2019.2934779-
dc.identifier.scopusid2-s2.0-85076121225-
dc.identifier.wosid000502782400048-
dc.identifier.bibliographicCitationIEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, v.67, no.12, pp.7643 - 7648-
dc.relation.isPartOfIEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION-
dc.citation.titleIEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION-
dc.citation.volume67-
dc.citation.number12-
dc.citation.startPage7643-
dc.citation.endPage7648-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaTelecommunications-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryTelecommunications-
dc.subject.keywordPlusSTABILITY-
dc.subject.keywordPlusMEDIA-
dc.subject.keywordAuthorTime-domain analysis-
dc.subject.keywordAuthorFinite difference methods-
dc.subject.keywordAuthorDispersion-
dc.subject.keywordAuthorNumerical models-
dc.subject.keywordAuthorMathematical model-
dc.subject.keywordAuthorMedia-
dc.subject.keywordAuthorNumerical stability-
dc.subject.keywordAuthorDispersive media-
dc.subject.keywordAuthorfinite-difference time-domain (FDTD) methods-
dc.subject.keywordAuthornumerical analysis-
dc.subject.keywordAuthornumerical stability-
dc.identifier.urlhttps://ieeexplore.ieee.org/document/8805252-
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