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Record W3043062487 · doi:10.1021/acsaelm.0c00343

CuO Nanowire-Enhanced Alternating Current-Driven Powder Electroluminescent Device with High Performance

2020· article· en· W3043062487 on OpenAlexafffund
Siwei Ma, Samuel Peter, Adrian H. Kitai

Bibliographic record

VenueACS Applied Electronic Materials · 2020
Typearticle
Languageen
FieldMaterials Science
TopicZnO doping and properties
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsElectroluminescenceMaterials scienceBrightnessElectroluminescent displayNanowireOptoelectronicsZinc sulfideAlternating currentCopperNanotechnologyZincLayer (electronics)VoltageMetallurgyOpticsElectrical engineering

Abstract

fetched live from OpenAlex

We report here the first use of a vertically aligned copper oxide (CuO) nanowire array in an alternating current-driven zinc sulfide (ZnS:Cu)-based powder electroluminescent (ACPEL) device. As a result, the CuO nanowire-enhanced ACPEL device exhibits a significantly improved brightness of >95 cd m–2 under drive conditions of 300 V and 5 kHz. It can maintain a high brightness (∼90 cd m–2) during continuous operation over 360 h. This facile strategy for fabricating the electroluminescent devices provides the prospect of simple, cost-effective, highly stable, and energy efficient next-generation lighting and display components.

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 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 score0.003
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.014
GPT teacher head0.222
Teacher spread0.209 · 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

Citations3
Published2020
Admission routes2
Has abstractyes

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