Evidence map›Paper›PMID 41501296›Full record

ArticleScientific reports2026

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

Shouwei Chen, Jin Wang, Xingpeng Liu, Xiaoping Wu, Jie Liu, Dawen Xia

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Shouwei Chen *Engineering Research Center of Micro-nano and Intelligent Manufacturing, Ministry of Education, Kaili University, Kaili, 556011, China. achengshouwei@163.com.
Jin Wang *Guangxi Key Laboratory of Precision Navigation Technology and Application, Guilin University of Electronic Technology, Guilin, 541004, China.
Xingpeng LiuGuangxi Key Laboratory of Precision Navigation Technology and Application, Guilin University of Electronic Technology, Guilin, 541004, China.
Xiaoping WuEngineering Research Center of Micro-nano and Intelligent Manufacturing, Ministry of Education, Kaili University, Kaili, 556011, China.
Jie LiuQiandongnan Polytechnic College, Kaili, 556011, China.
Dawen XiaEngineering Research Center of Micro-nano and Intelligent Manufacturing, Ministry of Education, Kaili University, Kaili, 556011, China.

Funding

Engineering Research Centre of Micro-nano and Intelligent Manufacturing, Ministry of Education [2024] WZG04Foundation Research Project of Kaili University YTH-XM2025003Guangxi Science and Technology Base and Talent Special Project: Research and Application of Key Technologies for Precise Navigation Gui Ke AD25069103Guizhou Provincial Basic Research Program (Natural Science) of Youth 〔2025〕241Open Fund Projct of Qiandongnan Glass Key Laboratory [2025] WZG02Qiandongnan Science and Technology Cooperation Platform [2024] 0001Science and Technology Breakthrough Project of Hundred Schools and Thousand Enterprises of the Education Department of Guizhou Province QJJ2025011
6 · The paper itself

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.

Indexed as

Coaxial-like through-glass viasHigh-frequency characteristicsInsertion lossStructural optimization

Identifiers

PMID41501296
PMCPMC12873373

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.