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High-frequency characteristics analysis and optimization of coaxial-like TGVs
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  • Published: 07 January 2026

High-frequency characteristics analysis and optimization of coaxial-like TGVs

  • Shouwei Chen1,3 na1,
  • Jin Wang2 na1,
  • Xingpeng Liu2,
  • Xiaoping Wu1,3,
  • Jie Liu4 &
  • …
  • Dawen Xia1,3 

Scientific Reports , Article number:  (2026) Cite this article

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Engineering
  • Mathematics and computing

Abstract

The Coaxial-Like through-glass vias (TGVs) are frequently used vertical interconnect transmission structures in radio frequency (RF) three-dimensional(3D) integrated circuits (ICs). This paper addresses the TGV’s structure in high-density 3D packaging by proposing a multi-parameter co-optimization methodology that integrates electromagnetic modeling, response surface methodology (RSM), and genetic algorithm (GA), significantly enhancing its high-frequency transmission performance. Innovatively, a 3D full-wave electromagnetic simulation model of the coaxial-like TGV is established to systematically analyze the influence of via pitch p, via radius r, and number of ground vias n on the insertion loss S21. An analytical model for RLGC parasitic parameters based on electromagnetic theory is derived. A second-order response surface model correlating S21 with key structural parameters is constructed via Box-Behnken experimental design, and globally optimized using a genetic algorithm, resulting in an optimized parameter set (p = 82.05 μm, r = 10.44 μm, n = 10) for S21 at 100 GHz. Simulation results verify that the optimized S21 improves by 0.0052 dB compared to the baseline model, with a relative enhancement of 21.94%. This study not only provides a theoretical foundation and optimization framework for high-performance TGV design, but also offers an effective solution for low-loss interconnects in 3D integrated RF devices.

Data availability

The data used to support the findings of this study are included within the article.

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Acknowledgements

This work was Supported by Guizhou Provincial Basic Research Program (Natural Science) of Youth Guidance (No.〔2025〕241), the Guangxi Science and Technology Base and Talent Special Project: Research and Application of Key Technologies for Precise Navigation (Gui Ke AD25069103), the Foundation Research Project of Kaili University (grant No.YTH-XM2025003), , the Qiandongnan Science and Technology Cooperation Platform([2024] 0001), the Engineering Research Centre of Micro-nano and Intelligent Manufacturing, Ministry of Education (No.[2024] WZG04), the Science and Technology Breakthrough Project of Hundred Schools and Thousand Enterprises of the Education Department of Guizhou Province (Grant no. QJJ2025011), and the National Natural Science Foundation of China (Grant nos. 62162012 and 62462013).

Author information

Author notes
  1. Shouwei Chen and Jin Wang contributed equally to this work.

Authors and Affiliations

  1. Engineering Research Center of Micro-nano and Intelligent Manufacturing, Ministry of Educatio, Kaili University, Kaili, 556011, China

    Shouwei Chen, Xiaoping Wu & Dawen Xia

  2. Guangxi Key Laboratory of Precision Navigation Technology and Application, Guilin University of Electronic Technology, Guilin, 541004, China

    Jin Wang & Xingpeng Liu

  3. School of Microelectronics and Artificial Intelligence, Kaili University, Kaili, 556011, China

    Shouwei Chen, Xiaoping Wu & Dawen Xia

  4. Qiandongnan Polytechnic College, Kaili, 556011, China

    Jie Liu

Authors
  1. Shouwei Chen
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Contributions

Conceptualization, Shouwei Chen and Xingpeng Liu; Methodology, Shouwei Chen and Jin Wang; Software, Shouwei Chen and Xiaoping Wu; Validation, Shouwei Chen, Jin Wang And Dawen Xia; Formal Analysis, Shouwei Chen; Investigation, Jin Wang; Resources, Shouwei Chen and Jie Liu; Data Curation, Xingpeng Liu and Shouwei Chen; Writing—Original Draft Preparation, Shouwei Chen.; Writing—Review & Editing, Shouwei Chen, Jin Wang, Xingpeng Liu, Jie Liu, Xiaoping Wu and Dawen Xia; Visualization, Shouwei Chen, Jin Wang, Xingpeng Liu and Dawen Xia; Supervision, Dawen Xia; Project Administration, Shouwei Chen and Dawen Xia; Funding Acquisition, Shouwei Chen and Dawen Xia. All authors have read and agreed to the published version of the manuscript.

Corresponding author

Correspondence to Shouwei Chen.

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Cite this article

Chen, S., Wang, J., Liu, X. et al. High-frequency characteristics analysis and optimization of coaxial-like TGVs. Sci Rep (2026). https://doi.org/10.1038/s41598-026-35007-5

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  • Received: 11 October 2025

  • Accepted: 01 January 2026

  • Published: 07 January 2026

  • DOI: https://doi.org/10.1038/s41598-026-35007-5

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Keywords

  • Coaxial-like through-glass vias
  • High-frequency characteristics
  • Insertion loss
  • Structural optimization
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