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Record W2008150134 · doi:10.1021/jp709701s

Observation of Single Tin Dioxide Nanoribbons by Confocal Raman Microspectroscopy

2007· article· en· W2008150134 on OpenAlexafffund
Fengping Wang, Xingtai Zhou, Jigang Zhou, Tsun‐Kong Sham, Zhifeng Ding

Bibliographic record

VenueThe Journal of Physical Chemistry C · 2007
Typearticle
Languageen
FieldEngineering
TopicGas Sensing Nanomaterials and Sensors
Canadian institutionsWestern University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsRaman spectroscopyLuminescenceTin dioxideMaterials scienceConfocalScanning electron microscopeAnalytical Chemistry (journal)ExcitonNanostructureOptoelectronicsNanotechnologyChemistryOptics

Abstract

fetched live from OpenAlex

High Resolution Image Download MS PowerPoint Slide Confocal Raman microspectroscopy combined with scanning electron microscopy (SEM) was used to characterize morphologies, chemical structures, and optical properties of single tin dioxide nanoribbons under ambient conditions. Raman images, depth profiles, and spectra of the ribbons were analyzed to provide new insights into the structure−property relationship. The Raman images constructed from the normal Raman bands and an additional group of energy bands with very high intensities between 1000 and 1800 cm -1 clearly discriminated the nanoribbons from the luminescent nanostructures grown on ribbon surfaces. The strong luminescent nanostructures have a stoichiometry of SnO x (1 < x < 2), as assessed by energy-dispersive X-ray (EDX) spectroscopy and Raman peaks between 100 and 300 cm -1 . The emission can be attributed to the defect state resonant and exciton−phonon coupling luminescence.

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 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 score0.001
Threshold uncertainty score0.304

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 head0.007
GPT teacher head0.209
Teacher spread0.201 · 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

Citations77
Published2007
Admission routes2
Has abstractyes

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