Full-wave analysis of planar surface-wave launchers offering efficient surface-wave excitation and guiding structure feeding
Bibliographic record
Abstract
Classic feeding techniques and dielectric slab selection for planar circuits and antenna designs can be challenging at microwave and millimeter-wave frequencies. Substrates can become electrically thick and unwanted surface-wave (SW) field distributions may be excited potentially spoiling device performance. Thus SWs are typically looked upon as an adverse effect causing parasitic radiation and power losses. However, by using an alternative design approach, SWs can actually be utilized to the advantage as a simple an efficient feeding scheme. In particular, by selecting electrically thick substrates with relatively high dielectric constant values, and with the appropriate arrangement of slots within the ground plane, SWs can be efficiently excited. In this work a full-wave analysis is provided in the spectral domain by examining the fields generated by the main slot connected to the feeding transmission line. Numerical results show that there is a broad frequency range which can offer increased TM SW power levels when compared to the radiated space wave power. Applications for these printed SWLs include new quasi-optical planar circuits, leaky-wave antennas, and other guiding structures for operation at microwave and millimeter-wave frequencies.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".