Dispersion and Polarization Control in Below-Cutoff Circular Waveguides Using Anisotropic Metasurface Liners
Bibliographic record
Abstract
This article explores the application of metasurface (MTS) liners in perfect-electric-conducting (PEC) circular waveguides for cutoff manipulation and the introduction of controllable chiral properties. A dispersion equation is derived to predict the propagation characteristics of a circular waveguide lined with an MTS exhibiting a general full tensor surface admittance response. A design procedure for the MTS liner is presented and validated with three design examples. Two of the examples use a capacitively loaded grid topology akin to a Jerusalem cross structure aligned with the principal coordinate system of the waveguide, resulting in a diagonal susceptance tensor. These two examples are used to demonstrate how the dispersion properties of the waveguide can be significantly modified based on the geometry of the MTS-lined waveguide system and the surface admittance exhibited by the MTS. The third design consists of a rotated fully printed Jerusalem cross structure with a general tensor susceptance, which is found to produce a separation in the dispersion curves of the left- and right-hand circularly polarized modes in the waveguide while also producing below-cutoff propagation. Theoretically predicted dispersions are validated with full-wave electromagnetic simulations.
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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) | 0.000 | 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".