Space Mapping for Electromagnetic-Centric Multiphysics Filters Design

Space mapping has been widely recognized as an effective engineering optimization methodology in microwave CAD. For complex systems coupled with multiple physical phenomena, the significance of multiphysics simulation for simulation-driven microwave filters design has already emerged. Researchers have investigated the exploratory applications utilizing the ability of space mapping techniques to perform the multiphysics-simulation-driven modeling and optimization of microwave filters. Artificial neural networks are introduced to be practical tools for the development of space mapping.

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Publication Details

Journal
IEEE Microwave Magazine
Published
2025-01-10
DOI
https://doi.org/10.1109/mmm.2024.3486599
Citations
3
Primary Topic
Antenna Design and Optimization
Type
article
Field-Weighted Citation Impact
14.98
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article

Space Mapping for Electromagnetic-Centric Multiphysics Filters Design

Feng Feng, Wei Zhang, Qi‐Jun Zhang, Zhichao Zhu
3 citations
IEEE Microwave Magazine
Antenna Design and Optimization
14.98
article

Space Mapping for Electromagnetic-Centric Multiphysics Filters Design

Feng Feng, Wei Zhang, Qi‐Jun Zhang, Zhichao Zhu
article en
3 citations

Abstract

Space mapping has been widely recognized as an effective engineering optimization methodology in microwave CAD. For complex systems coupled with multiple physical phenomena, the significance of multiphysics simulation for simulation-driven microwave filters design has already emerged. Researchers have investigated the exploratory applications utilizing the ability of space mapping techniques to perform the multiphysics-simulation-driven modeling and optimization of microwave filters. Artificial neural networks are introduced to be practical tools for the development of space mapping.

IEEE Microwave MagazineVol. 26(2)
Beijing University of Posts and Telecommunications (CN), Tianjin University (CN), Carleton University (CA)
Openalex Percentile: Top 2%
Antenna Design and Optimization
14.98
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