Controlling Electromagnetic Wavefronts Using Huygens' Metasurfaces
Bibliographic record
Abstract
An electric and a magnetic dipole that are superimposed and orthogonal to each other have interesting properties, since the dipoles can be designed to radiate primarily into one half of space only. Such a configuration is referred to as a Huygens’ source. Both active and passive configurations of Huygens’ sources can be envisioned. In this article, the properties of such arrays of passive and active Huygens’ sources are investigated for electromagnetic wavefront manipulation. These arrays are referred to as Huygens’ surfaces and are interesting because they can be designed to implement, thin, low‐profile devices that is desirable for RF/microwave hardware. The design of active and passive Huygens’ surfaces is investigated for three specific applications in the microwave frequency range: cloaking, refraction, and polarization control. For the problem of refraction, the synthesis and analysis of a passive Huygens’ surface to refract a plane wave is discussed for the application of thin microwave lenses. Equivalent circuit models and the implementation of such refracting Huygens’ metasurfaces are discussed. On the problem of polarization control, the design of passive Huygens’ metasurfaces is examined from theoretical, numerical, and measurement perspectives to demonstrate polarization manipulation. Passive Huygens’ surfaces are constructed to perform polarization conversion and chiral polarization effects (circular birefringence). This idea of implementing chiral surfaces is further examined by looking at the design and measurement of surfaces consisting of an electric response only. Finally for the problem of cloaking, active Huygens’ surfaces are investigated to implement a cloak that suppresses scattering from an object in all directions. Both theoretical and experimental aspects are examined and limitations and possible workarounds of active cloaking are briefly discussed. These kinds of Huygens’ metasurfaces have applications in radar, imaging, and point‐to‐point links such as in satellite communications.
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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 | 0.001 | 0.001 |
| 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".