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Record W2329970738 · doi:10.1021/jp207545a

2D XAFS–XEOL Mapping of Ga<sub>1–<i>x</i></sub>Zn<sub><i>x</i></sub>N<sub>1–<i>x</i></sub>O<sub><i>x</i></sub> Nanostructured Solid Solutions

2011· article· en· W2329970738 on OpenAlexafffund
Matthew J. Ward, Wei‐Qiang Han, Tsun‐Kong Sham

Bibliographic record

VenueThe Journal of Physical Chemistry C · 2011
Typearticle
Languageen
FieldMaterials Science
TopicZnO doping and properties
Canadian institutionsWestern University
FundersNatural Sciences and Engineering Research Council of CanadaOffice of ScienceBasic Energy SciencesUniversity of WashingtonU.S. Department of Energy
KeywordsXANESX-ray absorption fine structureMaterials scienceLuminescenceIndiumExcited stateOxideAbsorption (acoustics)SpectroscopyAnalytical Chemistry (journal)ChemistryOptoelectronicsAtomic physicsPhysicsMetallurgy

Abstract

fetched live from OpenAlex

We have applied two-dimensional X-ray absorption fine structure–X-ray-excited optical luminescence (2D XAFS–XEOL) and X-ray absorption near-edge structure (XANES) spectroscopy to study the nature of the X-ray-excited optical luminescence process in GaN–ZnO solid-solution nanostructures, both indium-doped (GIZNO) and undoped (GZNO). XAFS–XEOL analysis of GZNO reveals that X-ray-excited optical luminescence (XEOL) is a strong function of the excitation energy, and hence penetration depth, as well as the turn-on of any shallow core levels. Indium K-edge XANES results reveal that indium in GIZNO forms a surface oxide but has limited solubility in the solid solution. This observation is consistent with the morphology change from nanoparticles in GZNO to nanosheets in GIZNO induced by the presence of a surface In layer, which ultimately becomes oxidized to form In 2 O 3 . XAFS–XEOL measurements suggest that the XEOL from GIZNO is primarily due to oxygen defects in the indium oxide surface layer and effective energy transfer from the GaN–ZnO solid solution.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesMeta-epidemiology (narrow)
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 score0.005
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0030.001
Research integrity0.0010.002
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 head0.026
GPT teacher head0.223
Teacher spread0.197 · 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; both teacher heads agree on what is shown here.

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

Citations21
Published2011
Admission routes2
Has abstractyes

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Same venueThe Journal of Physical Chemistry CSame topicZnO doping and propertiesFrench-language works237,207