MétaCan
Menu
Back to cohort

High-Gain Dual-Beam Leaky-Wave Antenna with Left- and Right-Hand Circular Polarizations Utilizing Tensor Impedance Surfaces

2025· article· W7127306516 on OpenAlexaff
A. El Hakimi, Tarek Djerafi

Bibliographic record

Venuenot available
Typearticle
Language
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsRadiation patternAntenna factorMonopole antennaAntenna apertureAntenna measurementAntenna (radio)Coaxial antennaMain lobeMicrostrip antenna

Abstract

fetched live from OpenAlex

This paper presents a dual-beam leaky-wave holo-graphic antenna that offers high gain and the ability to achieve desired polarization configuration. The primary goal is to generate two beams with left- and right-hand circular polarization in distinct directions. To achieve this, the Fourier transform method is employed to accurately predict the aperture field distribution from the desired far-field radiation pattern. The final antenna design is realized using metallic rectangular patches printed on a dielectric substrate, where the width and rotation angle of each patch are optimized to achieve the desired surface impedance. The antenna is excited through a monopole antenna in the center. The final antenna structure achieves high gain for both beams, average 24 dB. Side lobe level is also obtained at the design frequency which is more than 14 dB for both beams.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.012
GPT teacher head0.224
Teacher spread0.212 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same topicAdvanced Antenna and Metasurface TechnologiesFrench-language works237,207