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Record W2061794558 · doi:10.1021/cm990679+

Intrazeolite Photochemistry. 26. Photophysical Properties of Nanosized TiO<sub>2</sub> Clusters Included in Zeolites Y, β, and Mordenite

2001· article· en· W2061794558 on OpenAlexaff
Sonia Corrent, Gonzalo Cosa, J. C. Scaiano, María S. Galletero, Mercedes Álvaro, Hermenegildo Garcı́a

Bibliographic record

VenueChemistry of Materials · 2001
Typearticle
Languageen
FieldEnergy
TopicTiO2 Photocatalysis and Solar Cells
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsAnataseNanoclustersMordenitePhotochemistryAnalytical Chemistry (journal)Materials scienceRedistribution (election)Thermal treatmentEmission spectrumFluorescenceZeoliteChemistrySpectral lineCatalysisPhotocatalysisNanotechnology

Abstract

fetched live from OpenAlex

The photophysical properties of TiO 2 included in zeolites Y, β, and mordenite are determined using time-resolved techniques. The shift in the ground-state absorption spectra for the TiO 2 −zeolite samples, compared to bulk phase anatase, is attributed to a direct transition in the semiconductor, based on calculated electronic transition energies. Excitation of the samples at 355 nm results in the formation of a trapped electron. Time-resolved fluorescence spectra are dependent upon the sample treatment, that is, whether the sample is heated prior to monitoring of the emission. Significant changes were found in the emission λ max and decay kinetics. These changes that occur are due to the presence of two different Ti species in the nanoclusters, differing in the presence of hydroxyl groups bonded to Ti atoms, that in turn depends on the thermal treatment and the relocation/redistribution of water around the Ti atoms. Changes in relative intensities between the two sets of samples are attributed to defect sites that are produced upon heating of the sample at high temperatures.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.009
GPT teacher head0.201
Teacher spread0.192 · 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 source (direct Gemma or distilled Codex), 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

Citations43
Published2001
Admission routes1
Has abstractyes

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