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Record W2333312203 · doi:10.1139/cjp-2013-0580

Solid-phase crystallization of high growth rate amorphous silicon films deposited by gas-jet electron beam plasma CVD method

2014· article· en· W2333312203 on OpenAlexvenueno aff
Е. А. Баранов, Sergey Khmel, A. O. Zamchiy, I.V. Cheskovskaya, М. Р. Шарафутдинов

Bibliographic record

VenueCanadian Journal of Physics · 2014
Typearticle
Languageen
FieldEngineering
TopicThin-Film Transistor Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsNanocrystalline siliconMaterials scienceThin filmCrystallinityAmorphous solidCrystallizationAnalytical Chemistry (journal)Amorphous siliconNanocrystalline materialPlasma-enhanced chemical vapor depositionSiliconCarbon filmOpticsCrystalline siliconCrystallographyChemical engineeringComposite materialOptoelectronicsNanotechnologyChemistryPhysics

Abstract

fetched live from OpenAlex

Solid phase crystallization of amorphous silicon films (a-Si:H) deposited by gas-jet electron beam plasma chemical vapor deposition method and annealed at 700 °C in vacuum has been investigated. This method provides high deposition rates (up to 2.3 nm/s) of a-Si:H thin films in a standard vacuum chamber. The effects of varying the substrate temperature from 190 to 415 °C on the structural and optical properties of the as-deposited amorphous films and postannealed nanocrystalline films have been investigated. The crystallite size was determined by X-ray diffraction (about 5–8 nm) and agrees with that obtained from Raman scattering. The estimated degree of crystallinity was 45%–59%. Optical transmission spectra were recorded to investigate the optical properties and thickness of the silicon thin films. The refractive index and optical band gap data was obtained for both as-deposited amorphous and post-annealed nanocrystalline silicon. The behavior of the refractive index of nanocrystalline silicon depending on the substrate temperature is correlated with the crystalline volume fraction. a-Si:H films obtained at low temperatures have larger crystallite size and better crystallinity after annealing.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.176
Threshold uncertainty score0.917

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 communication0.0000.000
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 head0.006
GPT teacher head0.227
Teacher spread0.222 · 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.

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

Citations10
Published2014
Admission routes1
Has abstractyes

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