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Record W3030186646 · doi:10.1109/lmwc.2020.2994863

<i>D</i>-Band Broadband Passive Frequency Tripler Using Antiparallel Diode-Connected nMOS Transistor Pair in 22-nm CMOS SOI

2020· article· en· W3030186646 on OpenAlexafffund
Nan Zhang, Leonid Belostotski, J.W. Haslett

Bibliographic record

VenueIEEE Microwave and Wireless Components Letters · 2020
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsUniversity of Calgary
FundersCanada Research Chairs
KeywordsNMOS logicCMOSOptoelectronicsElectrical engineeringSchottky diodeTransistorDiodeMaterials scienceAntiparallel (mathematics)Silicon on insulatorVoltageEngineeringPhysicsSilicon

Abstract

fetched live from OpenAlex

This letter describes a D -band antiparallel diode-connected nMOS-transistor-pair frequency tripler that is capable of operating over 27.8% 5-dB bandwidth (from 93 to 123 GHz) and achieves -16-dBm output power. The back-gate voltage is used to control the nonlinearity of the nMOS devices and can be tuned to optimize output power and conversion loss, for a range of input power levels. The tripler is implemented in the 22-nm CMOS SOI process and avoids the use of Schottky diodes.

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 score0.002

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 head0.026
GPT teacher head0.200
Teacher spread0.174 · 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

Citations13
Published2020
Admission routes2
Has abstractyes

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