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Record W2107065006 · doi:10.1109/16.841219

An analytic model for estimating the length of the velocity saturated region in GaAs MESFETs

2000· article· en· W2107065006 on OpenAlexafffund
C. Leifso, J.W. Haslett

Bibliographic record

VenueIEEE Transactions on Electron Devices · 2000
Typearticle
Languageen
FieldEngineering
TopicSilicon Carbide Semiconductor Technologies
Canadian institutionsUniversity of Calgary
FundersCMC Microsystems
KeywordsClassification of discontinuitiesSaturation (graph theory)Velocity saturationRange (aeronautics)Saturation velocityChannel (broadcasting)MechanicsWork (physics)Computational physicsMaterials sciencePhysicsStatistical physicsMathematicsEngineeringTransistorMathematical analysisThermodynamicsElectrical engineeringVoltageMOSFET

Abstract

fetched live from OpenAlex

An analytical model is presented for estimating the length of the portion of an FET channel with velocity saturated carriers. The model is based on previous work proposed by Pucel et al. [1974, 1975], and has been adapted to remove discontinuities between extreme bias conditions. The need for complicated numerical solutions has also been removed making the model suitable for use with circuit simulators. Results obtained from the model agree well with previously proposed models over a wide range of bias conditions where velocity saturation can be either dominant or negligible, depending on the overall channel length and bias conditions.

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)0.000
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.167
Threshold uncertainty score0.430

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 head0.020
GPT teacher head0.255
Teacher spread0.235 · 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 teacher head, 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
Published2000
Admission routes2
Has abstractyes

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