Realization of SIW Switches With Integration of VO<sub>2</sub>-Coated Flexible Polymers Onto PCBs
Bibliographic record
Abstract
This work proposes a dual-faceted innovation for developing efficient substrate-integrated waveguide (SIW) switches. First, we propose, develop, and demonstrate a novel SIW switch based on vanadium oxide (VO2), leveraging the unique metal-to-insulator transition (MIT) properties of VO2 for the first time. Second, we propose a low-cost and effective method for integrating thin-film VO2 into printed circuit board (PCB) circuits, combining the advantages of both technologies. We have employed thin-film VO2 deposited on flexible polymer sheets, which are both economical and exhibit high RF performance. These flexible switchable sheets are affixed on PCB SIW to enable reconfigurability and switching. The developed SIW switches exhibit remarkable performance characteristics. We demonstrate single-pole single-throw (SPST) SIW switches in two configurations, achieving a low insertion loss of 0.6 dB and an isolation level better than 20 dB across the 9–14-GHz frequency range. In addition, we propose and demonstrate a single-pole double-throw (SPDT) SIW switch, achieving an insertion loss of less than 1.0 dB and isolation better than 15 dB within the same frequency band. All measurements show excellent agreement with simulations, validating the proposed methodology and the theoretical foundation of this work.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".