MétaCan
Menu
Back to cohort
Record W1546912148

High-power broadband GaN HEMT SPST/SPDT switches based on resonance inductors and shunt-stacked transistors

2012· article· en· W1546912148 on OpenAlexaff
Khelifa Hettak, Tyler Ross, Nahin Irfan, Daniel Gratton, M.C.E. Yagoub, J. Wight

Bibliographic record

VenueEuropean Microwave Integrated Circuit Conference · 2012
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGaN-based semiconductor devices and materials
Canadian institutionsCanadian Space AgencyUniversity of OttawaCarleton UniversityCommunications Research Centre Canada
Fundersnot available
KeywordsInsertion lossInductorMaterials scienceHigh-electron-mobility transistorTransistorShunt (medical)OptoelectronicsBroadbandElectrical engineeringPower (physics)Computer scienceEngineeringTelecommunicationsVoltagePhysics
DOInot available

Abstract

fetched live from OpenAlex

Novel X-band high-power monolithic SPST/SPDT switches in coplanar GaN technology are presented. The SPDT switch exhibits 1:6dB on-state insertion loss and better than 20dB isolation. Power handling measurements have shown that the 1dB compression point occurs with an input power equal to 38dBm at 10GHz. A combination of techniques were used to yield higher power handling while preserving low loss and high isolation. These circuit techniques include the use of stacked HEMTs to improve power handling and to minimize the loss and maintain high isolation, and also the use of a resonance inductor in parallel with the series HEMTs to improve the isolation of the switch. Simulated and experimental results are presented in support of the novel switches.

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 score0.005

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 head0.023
GPT teacher head0.219
Teacher spread0.196 · 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

Citations10
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueEuropean Microwave Integrated Circuit ConferenceSame topicGaN-based semiconductor devices and materialsFrench-language works237,207