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Record W3004233558

Tunable SIW Slot Antenna Constructed by High Permittivity Material

2019· article· en· W3004233558 on OpenAlexaff
Jingxia Qiang, Feng Xu, Ke Wu

Bibliographic record

VenuePolyPublie (École Polytechnique de Montréal) · 2019
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsMaterials scienceDielectricPermittivityOptoelectronicsAntenna (radio)Center frequencyRadiation patternOpticsMetamaterialCeramicSlot antennaRelative permittivityElectrical engineeringPhysicsComposite materialEngineering
DOInot available

Abstract

fetched live from OpenAlex

A novel substrate integrated waveguide (SIW) bowtie slot antenna with tunable operation frequency is presented. The tunable is done by covering a high permittivity BST dielectric thick film into the radiation slot similar to a bowtie. The radiation frequency is sensitive to the variation of the dielectric constant of the Barium Strontium Titanate (BST) ceramic. Specifically, the return loss up to -36dB is observed at the center frequency of 6.07GHz when the dielectric constant of BST is 330. The center frequency shifts from 5.31GHz-7.17GHz when the dielectric constant of the BST increases from 490 to 180. Within the tunable frequency range, the antenna gains are more than 5dBi. The radiation patterns and the gains are almost not affected by the variation of the dielectric constant of BST, which shows outstanding features of this very compact and easy fabricatedtunable antenna. As a result, the presented anten-na has great potential for the applications in tunable frequency selection metamaterials devices.

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: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.001

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 head0.004
GPT teacher head0.175
Teacher spread0.171 · 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
Published2019
Admission routes1
Has abstractyes

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