Bibliographic record
Abstract
A novel bent-stub hybrid combline/rampart leaky-wave antenna (LWA) is designed and fabricated on a flexible polyethylene terephthalate (PET) substrate, and experimentally verified on flat and curved surfaces. The open stopband (OSB) of a combline structure is suppressed by utilizing two asymmetric stubs per unit cell (UC). Meandering is then introduced in its feed and increases gain and scan range. The meandering allows more UCs to fit within the same length and, as a discontinuity itself known as a rampart antenna, also contributes to the radiation. Also, the scan range is increased due to a reduction in the period of the UC. Finally, the antenna is utilized in an array where the combline LWAs are offset by half of a period and intertwined for efficient spatial organization. Mutual coupling is controlled by bending the UC stubs inwards, along with an optimization of antenna separation. Control of the mutual coupling is shown to reduce any discontinuities in the gain around the broadside frequency of the LWA array. Single LWAs as well as arrays of two and four LWAs are manually fabricated on a PET substrate and tested, demonstrating good agreement with simulations. Furthermore, the performance of the flexible antennas is characterized on curved surfaces and shown to retain performance well at curvature radiuses of greater than 1000 mm. The closed stopband (CSB), consistent smooth and high gain and control over the mutual coupling of this LWA are important to applications such as multiple input, multiple output (MIMO) based wireless communications systems, where an array configuration is required.
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".