Edge-based Material Cell Meshing for Improved Accuracy of Laguerre-Fdtd Method

Yifan Wang, Yiliang Guo, Rahul Kumar, Rohit Sharma, Madhavan Swaminathan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The unconditionally stable Laguerre-FDTD method is suitable for simulating 3-D multi-scale structures. In this work, a new meshing scheme for treating material cell in Laguerre- FDTD method is proposed to improve the simulation accuracy. This scheme uses linear average calculation of effective material property at edges of a material cell. Numerical results show that the proposed algorithm achieves significant improvement in simulation accuracy over conventional meshing.

Original languageEnglish (US)
Title of host publication2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1429-1430
Number of pages2
ISBN (Electronic)9781665442282
DOIs
StatePublished - 2023
Event2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023 - Portland, United States
Duration: Jul 23 2023Jul 28 2023

Publication series

NameIEEE Antennas and Propagation Society, AP-S International Symposium (Digest)
Volume2023-July
ISSN (Print)1522-3965

Conference

Conference2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023
Country/TerritoryUnited States
CityPortland
Period7/23/237/28/23

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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