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Record W2088670937 · doi:10.1116/1.1648674

Highly conductive n+ hydrogenated microcrystalline silicon and its application in thin film transistors

2004· article· en· W2088670937 on OpenAlexafffund
Czang-Ho Lee, Denis Striakhilev, Arokia Nathan

Bibliographic record

VenueJournal of Vacuum Science & Technology A Vacuum Surfaces and Films · 2004
Typearticle
Languageen
FieldEngineering
TopicThin-Film Transistor Technologies
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMaterials scienceSilaneAnalytical Chemistry (journal)HydrogenOhmic contactConductivityThin filmSiliconChemical vapor depositionRaman spectroscopyDopingLayer (electronics)OptoelectronicsNanotechnologyChemistryOpticsComposite material

Abstract

fetched live from OpenAlex

n + μc- Si:H films were deposited using 13.56 MHz plasma enhanced chemical vapor deposition from a gas mixture of silane, phosphine, and hydrogen. To study the effect of deposition conditions and thickness dependence on film properties, and to optimize deposition regimes, we varied the rf power and doping ratio for two different hydrogen dilutions. The film properties were investigated using Raman, x-ray diffraction, secondary-ion-mass spectroscopy, and optical transmittance measurements, as well as dark conductivity. The growth mechanism for a formation of n+ μc-Si:H is explained in terms of a hydrogen dilution effect using the combination of surface diffusion and selective etching models. The optimal conductivity [25 (Ωcm)−1] 50 nm n+ μc-Si:H film was obtained with 99.6% hydrogen dilution of silane. Thin film transistors with this n+ μc-Si:H ohmic contact layer demonstrate a device mobility of 0.9 cm2/Vs, a threshold voltage of 3 V, an ON/OFF current ratio of above 107, a subthreshold slope of 0.5 V/dec, and a leakage current of the order of 10−13 A.

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)0.001
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 score0.020
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.007
GPT teacher head0.211
Teacher spread0.204 · 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

Citations19
Published2004
Admission routes2
Has abstractyes

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