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Realizing Antenna Arrays with Huygens’ Metasurface Pairs Based on a Moment-Method-Like Design

2020· article· en· W3041398658 on OpenAlexaff
Vasileios G. Ataloglou, Ayman H. Dorrah, George V. Eleftheriades

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicMetamaterials and Metasurfaces Applications
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAntenna (radio)PhysicsPower (physics)AmplitudePhase (matter)Moment (physics)Chebyshev filterBeamformingMetamaterialOpticsTopology (electrical circuits)Computer scienceMathematicsMathematical analysisTelecommunicationsElectrical engineeringEngineeringClassical mechanics

Abstract

fetched live from OpenAlex

Huygens' metasurfaces have demonstrated great potential at manipulating electromagnetic fields at will. While omega-bianisotropy has allowed to design a single reflectionless metasurface for transformations that conserve local power, many applications, such as antenna beamforming, require control of both the amplitude and the phase of the transmitted fields. Pairs of reflectionless omega-bianisotropic metasurfaces have been proposed to break the condition of local power conservation. However, constraints on the minimum propagation length between the two metasurfaces, often lead to bulky designs. Here, an alternative method of designing a metasurface pair for arbitrary control of the amplitude and phase of the output fields is presented. The method relies on a power-based point matching process at the two metasurfaces and allows multiple reflections in the region between them. The usefulness of multiple reflections on the compactness of the metasurface pair is investigated through the design of a Chebyshev antenna array featuring a single feedpoint.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.256
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.075
GPT teacher head0.282
Teacher spread0.207 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreMethods

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".

Quick stats

Citations5
Published2020
Admission routes1
Has abstractyes

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