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Record W2042672766 · doi:10.1002/mop.25273

Analysis of miniaturized 3 dB branch-line hybrid couplers using distributed MIM capacitors

2010· article· en· W2042672766 on OpenAlexaff
Sung‐Chan Jung, Renato Negra, Fadhel M. Ghannouchi

Bibliographic record

VenueMicrowave and Optical Technology Letters · 2010
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCapacitorMicrowaveElectrical engineeringBandwidth (computing)Electric power transmissionHybrid couplerReturn lossTransmission lineEngineeringMetal-insulator-metalElectrical impedanceFootprintOptoelectronicsMaterials scienceElectronic engineeringPower dividers and directional couplersTelecommunicationsVoltage

Abstract

fetched live from OpenAlex

This letter presents the trade-off between size reduction and electrical performance of miniaturized branch line couplers using distributed capacitors placed in the inner open area of the hybrid. Based on single, double, and triple II-section approximations of the quarter wavelength transmission lines of a conventional design with high impedance lines and shunt metal-insulator-metal (MIM) capacitors, size reduction as well as electrical performance are compared both in simulation and experimentally. The miniaturized triple-section hybrid achieves similar bandwidth performance as the conventional 3 dB branch line hybrid coupler, but with a 61.2% smaller footprint. © 2010 Wiley Periodicals, Inc. Microwave Opt Technol Lett 52: 1553–1556, 2010; Published online in Wiley InterScience (www.interscience. wiley.com). DOI 10.1002/mop.25273

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

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)0.0010.000

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 head0.007
GPT teacher head0.203
Teacher spread0.197 · 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 designSimulation or modeling
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

Citations4
Published2010
Admission routes1
Has abstractyes

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