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Record W2022551088 · doi:10.1109/ted.2012.2209653

Capacitance Modeling and Characterization of Planar MOSCAP Devices for Wideband-Gap Semiconductors With High-$\kappa$ Dielectrics

2012· article· en· W2022551088 on OpenAlex
Kyle M. Bothe, Peter A. von Hauff, Amir Afshar, A. Foroughi‐Abari, Ken Cadien, Douglas W. Barlage

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIEEE Transactions on Electron Devices · 2012
Typearticle
Languageen
FieldEngineering
TopicSemiconductor materials and devices
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCapacitanceMaterials scienceDielectricPlanarTransistorOptoelectronicsTransmission lineSemiconductorElectronic engineeringDifferential capacitanceElectrical engineeringEngineeringComputer sciencePhysicsVoltageElectrode

Abstract

fetched live from OpenAlex

This paper presents a capacitance model and mobility extraction method through the use of tapered transmission line theory for accumulation-mode MOSCAP test structures. The analytical model accounts for the discrepancies commonly found when measuring the capacitance of nontraditional MOSCAP architectures. Through fabrication of a planar MOSCAP, this model accurately reproduced consistent capacitance density measurements for several device dimensions and high-κ dielectric thicknesses. In this paper, the theoretical basis of the model extracts the effective electron mobility of the accumulation channel in the semiconductor without fabricating a transistor.

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.

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 score0.067
Threshold uncertainty score1.000

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 communication0.0000.001
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 head0.017
GPT teacher head0.216
Teacher spread0.199 · 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