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Record W2075371655 · doi:10.1109/led.2005.853670

Top-gate TFTs using 13.56 MHz PECVD microcrystalline silicon

2005· article· en· W2075371655 on OpenAlexaff
Czang-Ho Lee, Denis Striakhilev, Tao Sheng, Arokia Nathan

Bibliographic record

VenueIEEE Electron Device Letters · 2005
Typearticle
Languageen
FieldEngineering
TopicThin-Film Transistor Technologies
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsThin-film transistorMaterials sciencePlasma-enhanced chemical vapor depositionSilicon nitrideOptoelectronicsGate dielectricThreshold voltageSiliconSubthreshold slopeAmorphous siliconMicrocrystallineAmorphous solidDielectricChemical vapor depositionTransistorAnalytical Chemistry (journal)Layer (electronics)Electrical engineeringNanotechnologyVoltageCrystalline siliconCrystallographyChemistry

Abstract

fetched live from OpenAlex

Top-gate thin-film transistors (TFTs) with microcrystalline silicon (μc-Si) channel layers deposited using standard 13.56 MHz plasma-enhanced chemical vapor deposition were fabricated at a maximum processing temperature of 250/spl deg/C. The TFTs employ amorphous silicon nitride (a-SiN) as the gate dielectric layer. The 80-nm-thick μc-Si channel layer showed a dark conductivity of the order of 10/sup -7/ S/cm and a crystalline volume fraction of over 80%. The μc-Si TFTs showed a field effect mobility of 0.85 cm2/V/spl middot/s, a threshold voltage of 4.8 V, a subthreshold slope of 1 V/dec, and an ON/OFF current ratio of /spl sim/10/sup 7/. More importantly, the TFTs were very stable under gate bias stress, offering promise for organic light-emitting display (OLED) applications.

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 score0.003
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)0.0020.001

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 head0.010
GPT teacher head0.217
Teacher spread0.208 · 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".

Quick stats

Citations28
Published2005
Admission routes1
Has abstractyes

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