High-frequency characteristics analysis and optimization of coaxial-like TGVs
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.
Authors
- Xiaoping Wu (ORCID: https://orcid.org/0000-0001-6776-6973)
- Shouwei Chen
- Xingpeng Liu (ORCID: https://orcid.org/0000-0001-6493-7271)
- Dawen Xia
- Jin Wang
- Jie Liu
Institutions
- Ministry of Education Science and Technology (MW)
- Kaduna Polytechnic (NG)
- Kaili University (CN)
- Guilin University of Electronic Technology (CN)
Publication Details
- Journal
- Scientific Reports
- Published
- 2026-01-07
- DOI
- https://doi.org/10.1038/s41598-026-35007-5
- Primary Topic
- 3D IC and TSV technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00