Efficient Aperture Illumination and Beamforming with Huygens’ Metasurfaces Exciting Surface Waves
Bibliographic record
Abstract
Huygens' metasurfaces allow for extreme wave manipulation of the incident fields. Their ability to shape the electromagnetic wavefronts have made them a promising platform to build antenna systems without complicated feeding networks. However, for conventional passive and lossless Huygens' meta-surfaces, the power density of the incident and output fields should be locally conserved. This requirement poses limitations to the amplitude of the output fields, especially if the radiating source is placed close to the metasurface. In this paper, a method is proposed to bypass these limitations and design Huygens' metasurfaces with nonlocal response. The method relies on surface waves that redistribute the power in the input side of the metasurface. The usefulness is demonstrated through the design of a radiating aperture with directivity beyond that of conventional metasurfaces. Furthermore, a physical Huygens' metasurface is designed to realize a singly-fed Taylor aperture antenna, verifying the potential of accurate and efficient beamforming.
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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) | 0.001 | 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".