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Record W4389102899 · doi:10.23919/emsci.2023.0008

Aperture-Shared Radiation Surface: A Promising Technique for Multifunctional Antenna Array Development

2023· article· en· W4389102899 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueElectromagnetic Science · 2023
Typearticle
Languageen
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsComputer scienceElectronic engineeringAperture (computer memory)Antenna (radio)WirelessExtremely high frequencyPolarization (electrochemistry)Antenna arrayAntenna apertureElectrical engineeringEngineeringTelecommunicationsRadiation patternPhysicsAcoustics

Abstract

fetched live from OpenAlex

In the development of a multifunctional and multi-standard analog frontend module in emerging and future wireless systems, multifunction antenna array is an indispensable component. To this end, the aperture-shared technique has come of age, and demonstrated significant advantages in the cost-effective design of efficient, compact, multiband, multibeam, and polarization-diversified antenna arrays, particularly with high frequency ratios. In this paper, various antenna topologies and surface architectures based on this technique, which have been proposed and developed thus far for a wide variety of applications, are reviewed, examined, and categorized to highlight the nature of electromagnetic aperture-shared schemes and merits. Finally, we briefly discuss future research directions in this context for multifunction millimeter-wave and terahertz wireless systems development.

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.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.339
Threshold uncertainty score0.577

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.016
GPT teacher head0.249
Teacher spread0.233 · 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