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Record W2802696787 · doi:10.22215/etd/2016-11240

Minimizing nMOS Edge Leakage in Fully Depleted Silicon-on-Insulator CMOS Using Poly-Buffered LOCOS Isolation

2016· dissertation· en· W2802696787 on OpenAlexaff
Samantha Trifoli

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEngineering
TopicSemiconductor materials and devices
Canadian institutionsCarleton University
Fundersnot available
KeywordsNMOS logicLOCOSSilicon on insulatorMaterials scienceSubthreshold conductionLeakage (economics)OptoelectronicsCMOSTransistorFabricationElectrical engineeringGate oxideMOSFETSiliconElectronic engineeringEngineeringMonocrystalline siliconVoltage

Abstract

fetched live from OpenAlex

A process has been designed, implemented and tested to minimize edge-leakage effects in fully depleted silicon-on-insulator (FD SOI) nMOSFET (nMOS) devices encountered in previous student project SOI CMOS fabrication runs in the Carleton University Microfabrication Laboratory. A layout with test arrays, including enclosed geometry transistors, was designed to perform a test fabrication run. The process uses optimized oxidation steps and Poly-Buffered LOCal Oxidation of Silicon (PBL) isolation with minimal mask steps and fabrication time. The fabricated test transistors revealed that some subthreshold edge leakage was still present in the nMOS devices.

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 categoriesMeta-epidemiology (narrow)
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 score0.042
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.019
GPT teacher head0.249
Teacher spread0.230 · 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.

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

Citations0
Published2016
Admission routes1
Has abstractyes

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