Dual-Polarized Volumetric Transmission-Line Metamaterials
Bibliographic record
Abstract
Most metamaterial unit cells are designed for a single polarization only. Those that do work for multiple polarizations are often difficult to fabricate as they require a three-dimensional arrangement of circuit boards. To get around this trade-off a new volumetric transmission-line metamaterial unit cell is introduced which supports two polarizations. The two-dimensional transmission-line network found in the unit cell contains both series-node and shunt-node grids, making it the first unit cell to combine these two configurations. This allows the unit cell to be fabricated by simply stacking printed circuit boards. This series-node/shunt-node configuration allows the unit cell to support two polarizations and makes the unit cell isotropic and polarization independent for cylindrical waves. Another unique feature of this proposed unit cell is that it achieves dual-polarized behaviour without using symmetry. To verify this concept an example unit cell is designed, exhibiting a negative index of refraction for two polarizations. Full-wave dispersion analysis is used to verify the presence of overlapping backward-wave modes at the same frequency range. Then the S-parameters for a finite number of unit cells are analyzed to determine the effective index of refraction. Multi-conductor transmission-line theory (MTL) is also used to model the dispersion curves of the unit cell for both polarizations. Finally, using full-wave simulations, dual-polarized negative refraction is demonstrated using a slab that is five unit-cells thick.
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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".