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Record W2090237056 · doi:10.1116/1.582246

Parameters of vacuum deposition of ZnS:Mn active layer for electroluminescent displays

2000· article· en· W2090237056 on OpenAlexfundno aff
Alex N. Krasnov, Peter G. Hofstra, Mike T. McCullough

Bibliographic record

VenueJournal of Vacuum Science & Technology A Vacuum Surfaces and Films · 2000
Typearticle
Languageen
FieldMaterials Science
TopicQuantum Dots Synthesis And Properties
Canadian institutionsnot available
FundersUniversity of Toronto
KeywordsPhosphorElectroluminescenceDeposition (geology)Materials scienceElectron beam physical vapor depositionEvaporationLayer (electronics)Scanning electron microscopeAcceleration voltageOptoelectronicsActive layerBrightnessVacuum depositionAnalytical Chemistry (journal)Cathode rayElectronOpticsNanotechnologyChemical vapor depositionChemistryComposite material

Abstract

fetched live from OpenAlex

In this article, x-ray diffraction measurements and scanning electron microscopy are employed to characterize the crystalline structure of the ZnS:Mn phosphor layers grown by thermal and electron-beam evaporation. The brightness–voltage and charge–voltage characteristics were used to estimate the efficiency of the active layer and to correlate it with the deposition conditions. The critical role of the preparation conditions and type of starting material is emphasized. Thermal deposition from a powder source has been found to favor the production of a smoother active layer. The use of specially prepared pellets has been found to be a key factor in the high-quality e-beam deposition of ZnS:Mn films. Peculiarities of both processes from the point of view of the evaporation kinetics are extensively discussed.

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 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 score0.009
Threshold uncertainty score0.696

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.014
GPT teacher head0.249
Teacher spread0.235 · 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
Published2000
Admission routes1
Has abstractyes

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