Analysis of Dielectric Post-Wall Waveguide-based Passive Circuits using Recurrent Neural Network

Saba Kobakhidze; Elguja Archemashvili; Vakhtang Jandieri; Kiyotoshi Yasumoto; Hiroshi Maeda; Wonbin Hong; Douglas H. Werner; Daniel Erni

Analysis of Dielectric Post-Wall Waveguide-based Passive Circuits using Recurrent Neural Network

Saba Kobakhidze, Elguja Archemashvili, Vakhtang Jandieri, Kiyotoshi Yasumoto, Hiroshi Maeda, Wonbin Hong, Douglas H. Werner, Daniel Erni

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The dielectric post-wall waveguide-based passive circuits are analyzed using a surrogate model represented by an attention-based recurrent neural network. The predicted results from this much simpler, trained model show a good agreement with those obtained by a corresponding full-wave computational electromagnetics analysis with a fully independent EM commercial software package.

Original language	English (US)
Title of host publication	2022 16th European Conference on Antennas and Propagation, EuCAP 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9788831299046
State	Published - 2022
Event	16th European Conference on Antennas and Propagation, EuCAP 2022 - Madrid, Spain Duration: Mar 27 2022 → Apr 1 2022

Publication series

Name	2022 16th European Conference on Antennas and Propagation, EuCAP 2022

Conference

Conference	16th European Conference on Antennas and Propagation, EuCAP 2022
Country/Territory	Spain
City	Madrid
Period	3/27/22 → 4/1/22

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Electronic, Optical and Magnetic Materials
Instrumentation
Radiation

Cite this

Kobakhidze, S., Archemashvili, E., Jandieri, V., Yasumoto, K., Maeda, H., Hong, W., Werner, D. H., & Erni, D. (2022). Analysis of Dielectric Post-Wall Waveguide-based Passive Circuits using Recurrent Neural Network. In 2022 16th European Conference on Antennas and Propagation, EuCAP 2022 (2022 16th European Conference on Antennas and Propagation, EuCAP 2022). Institute of Electrical and Electronics Engineers Inc..

Kobakhidze, Saba ; Archemashvili, Elguja ; Jandieri, Vakhtang et al. / Analysis of Dielectric Post-Wall Waveguide-based Passive Circuits using Recurrent Neural Network. 2022 16th European Conference on Antennas and Propagation, EuCAP 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 16th European Conference on Antennas and Propagation, EuCAP 2022).

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title = "Analysis of Dielectric Post-Wall Waveguide-based Passive Circuits using Recurrent Neural Network",

abstract = "The dielectric post-wall waveguide-based passive circuits are analyzed using a surrogate model represented by an attention-based recurrent neural network. The predicted results from this much simpler, trained model show a good agreement with those obtained by a corresponding full-wave computational electromagnetics analysis with a fully independent EM commercial software package.",

author = "Saba Kobakhidze and Elguja Archemashvili and Vakhtang Jandieri and Kiyotoshi Yasumoto and Hiroshi Maeda and Wonbin Hong and Werner, {Douglas H.} and Daniel Erni",

note = "Funding Information: Parts of this work were supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – TRR 196 MARIE under Grant 287022738 (project M03). The work was supported by Shota Rustaveli National Science Foundation of Georgia (SRNSFG) [grant number: FR-19-4058]. Publisher Copyright: {\textcopyright} 2022 European Association for Antennas and Propagation.; 16th European Conference on Antennas and Propagation, EuCAP 2022 ; Conference date: 27-03-2022 Through 01-04-2022",

year = "2022",

language = "English (US)",

series = "2022 16th European Conference on Antennas and Propagation, EuCAP 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2022 16th European Conference on Antennas and Propagation, EuCAP 2022",

address = "United States",

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Kobakhidze, S, Archemashvili, E, Jandieri, V, Yasumoto, K, Maeda, H, Hong, W, Werner, DH & Erni, D 2022, Analysis of Dielectric Post-Wall Waveguide-based Passive Circuits using Recurrent Neural Network. in 2022 16th European Conference on Antennas and Propagation, EuCAP 2022. 2022 16th European Conference on Antennas and Propagation, EuCAP 2022, Institute of Electrical and Electronics Engineers Inc., 16th European Conference on Antennas and Propagation, EuCAP 2022, Madrid, Spain, 3/27/22.

Analysis of Dielectric Post-Wall Waveguide-based Passive Circuits using Recurrent Neural Network. / Kobakhidze, Saba; Archemashvili, Elguja; Jandieri, Vakhtang et al.

2022 16th European Conference on Antennas and Propagation, EuCAP 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 16th European Conference on Antennas and Propagation, EuCAP 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Analysis of Dielectric Post-Wall Waveguide-based Passive Circuits using Recurrent Neural Network

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AU - Archemashvili, Elguja

AU - Jandieri, Vakhtang

AU - Yasumoto, Kiyotoshi

AU - Maeda, Hiroshi

AU - Hong, Wonbin

AU - Werner, Douglas H.

AU - Erni, Daniel

N1 - Funding Information: Parts of this work were supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – TRR 196 MARIE under Grant 287022738 (project M03). The work was supported by Shota Rustaveli National Science Foundation of Georgia (SRNSFG) [grant number: FR-19-4058]. Publisher Copyright: © 2022 European Association for Antennas and Propagation.

PY - 2022

Y1 - 2022

N2 - The dielectric post-wall waveguide-based passive circuits are analyzed using a surrogate model represented by an attention-based recurrent neural network. The predicted results from this much simpler, trained model show a good agreement with those obtained by a corresponding full-wave computational electromagnetics analysis with a fully independent EM commercial software package.

AB - The dielectric post-wall waveguide-based passive circuits are analyzed using a surrogate model represented by an attention-based recurrent neural network. The predicted results from this much simpler, trained model show a good agreement with those obtained by a corresponding full-wave computational electromagnetics analysis with a fully independent EM commercial software package.

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M3 - Conference contribution

AN - SCOPUS:85130597397

T3 - 2022 16th European Conference on Antennas and Propagation, EuCAP 2022

BT - 2022 16th European Conference on Antennas and Propagation, EuCAP 2022

PB - Institute of Electrical and Electronics Engineers Inc.

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Kobakhidze S, Archemashvili E, Jandieri V, Yasumoto K, Maeda H, Hong W et al. Analysis of Dielectric Post-Wall Waveguide-based Passive Circuits using Recurrent Neural Network. In 2022 16th European Conference on Antennas and Propagation, EuCAP 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (2022 16th European Conference on Antennas and Propagation, EuCAP 2022).

Analysis of Dielectric Post-Wall Waveguide-based Passive Circuits using Recurrent Neural Network

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