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Record W3191316040 · doi:10.1002/mmce.22830

Integrated substrate groove gap waveguide and application for filter design

2021· article· en· W3191316040 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

VenueInternational Journal of RF and Microwave Computer-Aided Engineering · 2021
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsConcordia University
FundersNational Natural Science Foundation of China
KeywordsMaterials sciencePrinted circuit boardGroove (engineering)WaveguideIntegrated circuitOptoelectronicsSubstrate (aquarium)Transmission lineOpticsElectrical impedanceFilter (signal processing)Extremely high frequencyBand-pass filterWaveguide filterDispersion (optics)Electronic engineeringElectrical engineeringEngineeringLow-pass filterPhysicsPrototype filter

Abstract

fetched live from OpenAlex

In this article, an integrated substrate groove gap waveguide (Integrated-SGGW) is proposed, which is composed of gap and groove layer in printed circuit board technology, which is considered a highly integrated circuit design technology. Electromagnetic wave is transmitted via the dielectric groove in transverse electric mode. Firstly, the waveguide is analyzed, including dispersion characteristics, transmission characteristics, characteristic impedance and field distribution. Then, the theory of dispersion and characteristic impedance for the Integrated-SGGW are given, and the waveguide is comprehensively analyzed. An Integrated-SGGW is fabricated, verified, and compared with substrate integrated waveguide and other waveguides. To show Integrated-SGGW applications in the design of millimeter wave circuits, a third-order bandpass filter using the Integrated-SGGW is designed, fabricated, and verified.

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)0.000
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: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.695
Threshold uncertainty score0.976

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 studies0.0000.000
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 head0.015
GPT teacher head0.219
Teacher spread0.203 · 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