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Record W1515270976

Cascode MOSFET-MESFET RF power amplifier on 150nm SOI CMOS technology

2011· article· en· W1515270976 on OpenAlexaff
M. Reza Ghajar, William Lepkowski, Seth J. Wilk, Bertan Bakkaloğlu, Slim Boumaiza, T. J. Thornton

Bibliographic record

VenueEuropean Microwave Integrated Circuit Conference · 2011
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsMESFETCascodeAmplifierCMOSElectrical engineeringMaterials scienceRadio frequencyRF power amplifierTransistorMOSFETSilicon on insulatorOptoelectronicsVoltageBreakdown voltageField-effect transistorEngineeringSilicon
DOInot available

Abstract

fetched live from OpenAlex

Metal-semiconductor-field-effect-transistors (MESFETs) have been fabricated using a 150 nm partially depleted silicon-on-insulator CMOS technology. A peak f T of 40 GHz and peak breakdown voltages of up to 12V were measured. Comparatively, the CMOS transistors on the same process have a maximum steady-state voltage limit of 1.95V. TOM3 model for MESFET developed in ADS. The demonstrated high cut-off frequency and high voltage operation capability make the SOI MESFET a good device candidate for integrated radio frequency (RF) power amplifiers (PA). A cascoded MOS-MES RF PA architecture is proposed and simulated in ADS using the TOM3 model. Simulation results show 75% PAE while delivering 24dBm output power.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.926
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0030.008

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 head0.042
GPT teacher head0.201
Teacher spread0.159 · 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; both teacher heads agree on what is shown here.

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

Citations3
Published2011
Admission routes1
Has abstractyes

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