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Record W1966928489 · doi:10.1116/1.2194027

High-performance n-channel 13.56MHz plasma-enhanced chemical vapor deposition nanocrystalline silicon thin-film transistors

2006· article· en· W1966928489 on OpenAlexafffund
Czang-Ho Lee, Andrei Sazonov, Arokia Nathan

Bibliographic record

VenueJournal of Vacuum Science & Technology A Vacuum Surfaces and Films · 2006
Typearticle
Languageen
FieldEngineering
TopicThin-Film Transistor Technologies
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMaterials scienceThin-film transistorNanocrystalline siliconChemical vapor depositionThin filmPlasma-enhanced chemical vapor depositionSiliconSubstrate (aquarium)Amorphous siliconAnalytical Chemistry (journal)OptoelectronicsSilaneGate dielectricAmorphous solidSubthreshold slopeThreshold voltageNanocrystalline materialNanotechnologyTransistorLayer (electronics)Crystalline siliconChemistryElectrical engineeringCrystallographyVoltageComposite material

Abstract

fetched live from OpenAlex

Hydrogenated nanocrystalline silicon (nc-Si:H) films were directly deposited by using 13.56MHz plasma-enhanced chemical vapor deposition at a substrate temperature of 260°C with highly hydrogen (H2) diluted silane (SiH4) gases. The nc-Si:H film showed a high Raman crystalline volume fraction (XC∼85%) and low oxygen concentration (CO∼1.5×1017at.∕cm3). The formation of high-quality nc-Si:H is explained in terms of the effective roles of atomic hydrogen in the plasma. Top-gate staggered n-channel thin-film transistors (TFTs) adopting 90–100nm nc-Si:H channel and ∼300nm hydrogenated amorphous silicon oxide (a-SiOx) gate dielectric layers showed a field-effect mobility (μFE) of ∼150cm2∕Vs, a threshold voltage (VT) of ∼2V, a subthreshold slope (S) of ∼0.23V∕dec, and an on/off current ratio of more than 106. The TFT performance reported here offers promise for the total integration of peripheral electronics for active-matrix flat panel systems.

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 score0.011
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.005
GPT teacher head0.184
Teacher spread0.179 · 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

Citations12
Published2006
Admission routes2
Has abstractyes

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