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Record W2783989636 · doi:10.1002/mop.30982

An efficient and reliable small signal intrinsic parameters extraction for HEMT GaN devices

2018· article· en· W2783989636 on OpenAlexaff
Djabar Maafri, Abdelhalim A. Saadi, Abdelhalim Slimane, M.C.E. Yagoub

Bibliographic record

VenueMicrowave and Optical Technology Letters · 2018
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGaN-based semiconductor devices and materials
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHigh-electron-mobility transistorEquivalent circuitElectrical elementSmall-signal modelSIGNAL (programming language)Electronic engineeringMaterials scienceOptoelectronicsElectrical engineeringEngineeringTransistorComputer scienceVoltage

Abstract

fetched live from OpenAlex

Abstract To efficiently design GaN HEMT devices, a robust extraction of their intrinsic electrical equivalent circuit element values is critical. Aiming to accurately determine all intrinsic element values, a new elements‐based small‐signal equivalent circuit technique is introduced in this paper. Compared to the conventional GaAs‐based HEMT small‐signal model composed of 16 elements, the proposed equivalent circuit consists of two parasitic distributed interelectrode extrinsic capacitances and two additional feedback intrinsic resistances. The circuit element values were obtained starting from measured S ‐parameters and using Y ‐matrix transformations. The efficiency of the proposed methodology was demonstrated through excellent agreement between simulated and measured data up to 60 GHz.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.607

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 head0.013
GPT teacher head0.247
Teacher spread0.234 · 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 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

Citations9
Published2018
Admission routes1
Has abstractyes

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