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MOS Interface Characteristics of <i>In Situ</i> Ge-Doped 4H-SiC Homoepitaxial Layers

2015· article· en· W2241514912 on OpenAlexaff
Alberto Salinaro, Kassem Alassaad, Dethard Peters, Peter Friedrichs, Gabriel Ferro

Bibliographic record

VenueMaterials science forum · 2015
Typearticle
Languageen
FieldEngineering
TopicSilicon Carbide Semiconductor Technologies
Canadian institutionsInfineon Technologies (Canada)
FundersEuropean Commission
KeywordsMaterials scienceDopingSubstrate (aquarium)Chemical vapor depositionOptoelectronicsCapacitorOxideQuantum tunnellingMOSFETLayer (electronics)NanotechnologyVoltageElectrical engineeringTransistorMetallurgy

Abstract

fetched live from OpenAlex

We report on the electrical characterization of the Metal-Oxide-Semiconductor (MOS) interfacerealized on in-situ Ge-doped n-type 4H-SiC epilayers grown by Chemical Vapour Deposition(CVD). In order to study the relevance of this novel material for MOSFET technology, and in particularwhether the Ge presence deteriorates the SiC/SiO2 interface, we investigated the electrical propertiesof MOS capacitors realized on this novel substrate. Capacitance-Voltage measurements, performedto determine the quality of the SiC/SiO2 interface, show that the interface traps concentration is notincreased by the Ge content. The current through the oxide layer, monitored to study the bulk oxidequality and the tunneling mechanisms, indicates that Fowler-Nordheim conduction occurs and that thesubstrate-to-oxide barrier for electrons is comparable to the reported values for the SiC/SiO2 system.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

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)0.0020.000

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 head0.018
GPT teacher head0.240
Teacher spread0.221 · 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 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".

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Citations1
Published2015
Admission routes1
Has abstractyes

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