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Record W1989913012 · doi:10.1103/physrevb.75.075301

Electroluminescence materials ZnS:Cu,Cl and ZnS:Cu,Mn,Cl studied by EXAFS spectroscopy

2007· article· en· W1989913012 on OpenAlexfundno aff
M. Warkentin, F. Bridges, S. A. Carter, Michele L. Anderson

Bibliographic record

VenuePhysical Review B · 2007
Typearticle
Languageen
FieldMaterials Science
TopicQuantum Dots Synthesis And Properties
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaOffice of Science
KeywordsExtended X-ray absorption fine structureMaterials scienceElectroluminescenceX-ray absorption spectroscopyLuminescenceSpectroscopyAnalytical Chemistry (journal)Annealing (glass)DopantIonAbsorption spectroscopyCrystallographyDopingNanotechnologyChemistryOptoelectronicsOpticsMetallurgy

Abstract

fetched live from OpenAlex

When a high-frequency ac voltage is applied to ZnS:Cu,Cl and ZnS:Cu,Mn,Cl devices, optical fluorescence, known as ac electroluminescence (EL), is observed; it depends on both the Cu (Mn) and Cl dopants. The local structure of these compounds was studied using the extended x-ray-absorption fine-structure (EXAFS) technique to understand the role of Cu and Mn. Data were taken at the $K$ edge of Zn, Cu, and Mn, for powder material and for both new and aged (degraded, low EL) devices. The EXAFS data show that Mn substitutes for Zn in the ZnS lattice, whereas Cu has a different local structure (it cannot be fit well with the ZnS structure). For all the Cu edge data, the first shell of neighbors is best fit using an experimental standard obtained from CuS, suggesting that almost all of the Cu resides in tiny CuS-like clusters. Since these clusters are dominant in both the new and degraded samples and do not change with aging, they likely do not contribute directly to the luminescence. Consequently, our results indicate that a very small fraction of the Cu atoms are EL-active; this is consistent with previous models for which the emission centers involve isolated Cu defects or Cu pairs. Thus, a possible explanation for the rapid degradation of a device is that the isolated Cu ions electrodiffuse to the CuS-like clusters, at which point they no longer produce EL. Based on these results, a low-temperature annealing experiment (200C) was carried out that shows that a degraded device can be nearly completely rejuvenated by heating.

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 score0.038
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.021
GPT teacher head0.305
Teacher spread0.283 · 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

Citations65
Published2007
Admission routes1
Has abstractyes

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