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Record W2113261190 · doi:10.1021/cg2011919

Observation of Surface/Defect States of SnO<sub>2</sub> Nanowires on Different Substrates from X-ray Excited Optical Luminescence

2011· article· en· W2113261190 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCrystal Growth & Design · 2011
Typearticle
Languageen
FieldEngineering
TopicGas Sensing Nanomaterials and Sensors
Canadian institutionsWestern University
Fundersnot available
KeywordsLuminescenceCrystallinityExcited stateXANESMaterials scienceNanowirePhotoluminescenceCopperSurface statesOptoelectronicsNanotechnologyAbsorption (acoustics)Hydrothermal circulationChemical engineeringSurface (topology)MetallurgyComposite materialAtomic physicsSpectral line

Abstract

fetched live from OpenAlex

SnO 2 nanowires (NWs) have been successfully synthesized on two different substrates (stainless steel (SS) and copper) via a facile hydrothermal process. SnO 2 NWs with varying degrees of crystallinity are obtained on different substrates. The growth mechanisms are also deducted by observing the morphology revolution at various reaction times. Furthermore, the electronic structures and optical properties have been investigated by X-ray absorption near edge structure (XANES) and X-ray excited optical luminescence (XEOL) measurements. The yellow-green luminescence from SnO 2 NWs is originated from the intrinsic surface states. Compared with SnO 2 NWs on copper, a near infrared (NIR) luminescence is observed for SnO 2 NWs on SS, which resulted from poor crystallinity and an abundance of defect/surface states.

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.

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 score0.112
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.031
GPT teacher head0.188
Teacher spread0.157 · 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