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Record W2574937587 · doi:10.1109/eumc.2016.7824527

Impedance tuner using BST varactors in alumina-based IPD technology

2016· article· en· W2574937587 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAcoustic Wave Resonator Technologies
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsTunerVaricapElectrical impedanceMaterials scienceImpedance matchingFootprintInsertion lossFabricationElectrical engineeringOptoelectronicsAntenna tunerCapacitanceEngineeringRadio frequencyAntenna (radio)PhysicsDipole antennaElectrode

Abstract

fetched live from OpenAlex

A compact, low loss and wide coverage impedance tuner using alumina-based integrated passive device (AIPD) technology is proposed. By integrating a tuning element-barium strontium titanate (BST) varactor, with high-Q AIPD L-C elements, an impedance tuner with wide impedance coverage range is achieved while maintaining low insertion losses. Details of the in-house AIPD fabrication process are presented. Measured results for a continuous impedance tuner designed at 2.5 GHz are presented demonstrating a maximum insertion loss of 1.2-dB impedance tuner from 2-3 GHz. The overall footprint of the chip is only 3.8 mm × 1.88 mm.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.224
Threshold uncertainty score0.499

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 head0.010
GPT teacher head0.216
Teacher spread0.206 · 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

Quick stats

Citations11
Published2016
Admission routes1
Has abstractyes

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