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Record W1972042627 · doi:10.1021/jp810639y

An X-ray Absorption, Photoemission, and Raman Study of the Interaction between SnO<sub>2</sub> Nanoparticle and Carbon Nanotube

2009· article· en· W1972042627 on OpenAlexaff
Jigang Zhou, Haitao Fang, Jason Maley, J. Y. Peter Ko, Michael W. Murphy, Yi Chu, Ramaswami Sammynaiken, T. K. Sham

Bibliographic record

VenueThe Journal of Physical Chemistry C · 2009
Typearticle
Languageen
FieldEngineering
TopicGas Sensing Nanomaterials and Sensors
Canadian institutionsCanadian Light Source (Canada)University of SaskatchewanWestern University
Fundersnot available
KeywordsXANESRaman spectroscopyCarbon nanotubeMaterials scienceRutileX-ray photoelectron spectroscopyNanoparticleValence (chemistry)Composite numberAbsorption spectroscopyChemical engineeringNanotechnologySpectroscopyChemistryComposite materialOrganic chemistry

Abstract

fetched live from OpenAlex

The interaction between SnO 2 and substrate in SnO 2 nanoparicles (NPs)−carbon nanotubes (CNTs) composite has been studied by X-ray absorption near-edge structures (XANES) at Sn M 5,4, O K-edge and C K-edge. SnO 2 NPs in the composite have a rutile crystal structure with abundant surface states. The variation in resonance features of the XANES strongly supports that the crystalline SnO 2 NPs interact with CNTs through synergic bonding involving charge redistribution between C 2p-derived states and the valence and conduction bands in SnO 2 NPs via interaction at the interface facilitated by oxidation treatment of the CNT prior to composite formation. Raman and ultraviolet photoelectron spectroscopy (UPS) results support the synergic bonding interaction. Such interaction is expected not only to immobilize SnO 2 NPs on CNT but also to improve the conductivity of SnO 2 NPs.

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 score0.026
Threshold uncertainty score0.242

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 head0.219
Teacher spread0.212 · 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
Published2009
Admission routes1
Has abstractyes

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