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Record W2598609240 · doi:10.1049/iet-map.2016.0891

Multi‐layer EBG slab waveguide based on open square rings

2017· article· en· W2598609240 on OpenAlexafffund
Hassna Ouassal, J. Shaker, Langis Roy, Reza Chaharmir, Khelifa Hettak

Bibliographic record

VenueIET Microwaves Antennas & Propagation · 2017
Typearticle
Languageen
FieldPhysics and Astronomy
TopicPhotonic Crystals and Applications
Canadian institutionsOntario Tech UniversityCommunications Research Centre CanadaCarleton University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPrinted circuit boardSlabMaterials scienceInsertion lossPhotonic crystalFabricationSquare latticeOptoelectronicsMetamaterialSquare (algebra)Electronic engineeringEngineeringElectrical engineeringStructural engineeringPhysicsGeometryCondensed matter physics

Abstract

fetched live from OpenAlex

A novel guiding channel that is electromagnetic bandgap (EBG) based is presented. The structure is formed in a two‐dimensional slab of a square lattice of multi‐layer metallic open square rings. Dispersion diagrams and eigenfield distributions of the in‐gap‐guided mode are shown. The channel guide offers many advantages such as easy and flexible design for band‐select applications while retaining its electromagnetic properties, simple fabrication (no drilling through the substrate) and compatibility with integrated circuit technology. Two EBG waveguide configurations with a feeding structure on a circuit board (PCB) were designed, fabricated and tested. It is shown experimentally that the length of the EBG guide does not impact the insertion loss significantly, which establishes low insertion loss of the guide.

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)0.000
metaresearch head score (Gemma)0.000
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: Empirical
Teacher disagreement score0.282
Threshold uncertainty score0.863

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
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 head0.038
GPT teacher head0.321
Teacher spread0.283 · 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.

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

Citations6
Published2017
Admission routes2
Has abstractyes

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