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Record W2100166869 · doi:10.1109/ted.2002.804728

Closed-form breakdown voltage model for PD SOI NMOS devices considering impact ionization of both parasitic BJT and surface MOS channel simultaneously

2002· article· en· W2100166869 on OpenAlexaff
Shih‐Chia Lin, J.B. Kuo

Bibliographic record

VenueIEEE Transactions on Electron Devices · 2002
Typearticle
Languageen
FieldEngineering
TopicSemiconductor materials and devices
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsNMOS logicImpact ionizationBipolar junction transistorBreakdown voltageMaterials scienceSilicon on insulatorSubthreshold conductionOptoelectronicsMOSFETVoltageElectrostatic dischargeIonizationElectrical engineeringTransistorSiliconChemistryEngineeringIon

Abstract

fetched live from OpenAlex

This paper reports a compact breakdown voltage model for partially depleted (PD) silicon-on-insulator (SOI) n-metal-oxide-semiconductor (NMOS) devices considering BJT/MOS impact ionization. Via the improved current conduction model considering BJT/MOS impact ionization this compact model provides an accurate prediction of the breakdown behavior of the PD SOI NMOS devices as verified by the experimental data and the MEDICI results. Based on the analytical model, when the gate voltage is lowered, the breakdown voltage decreases due to a stronger function of the parasitic BJT. In the subthreshold region, the breakdown voltage increases at a decreased gate voltage due to a weaker function of the parasitic BJT.

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)0.001
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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.019
GPT teacher head0.243
Teacher spread0.224 · 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

Citations2
Published2002
Admission routes1
Has abstractyes

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