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Record W2088311886 · doi:10.1021/jp803853m

A Comprehensive Study of Titanium-Substituted SBA-15 Mesoporous Materials Prepared by Direct Synthesis

2008· article· en· W2088311886 on OpenAlexaff
François Bérubé, Freddy Kleitz, Serge Kaliaguine

Bibliographic record

VenueThe Journal of Physical Chemistry C · 2008
Typearticle
Languageen
FieldMaterials Science
TopicMesoporous Materials and Catalysis
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsTitaniumAnataseMesoporous materialMaterials scienceHydrothermal synthesisPhysisorptionChemical engineeringAmorphous solidSiliconHydrothermal circulationPhotocatalysisInorganic chemistryCatalysisChemistryMetallurgyCrystallographyOrganic chemistry

Abstract

fetched live from OpenAlex

The influence of different synthesis parameters on the physicochemical properties of titanium-substituted SBA-15 silicas prepared by direct one-step synthesis was systematically studied by a combination of N 2 physisorption at −196 °C, X-ray diffraction (XRD), diffuse reflectance UV−vis, and elemental analysis. The results showed that for low titanium precursor concentrations used in the initial synthesis gel, incorporation of titanium in the final material is not complete. Under these synthesis conditions, Ti atoms are well-dispersed in the silica framework and mainly exist in tetrahedral coordination. When the isolated titanium species present in the gel reach a critical concentration, an increase in incorporation ratio is observed due to the formation of anatase TiO 2 clusters on the materials surface. It was also shown that this critical titanium loading is mainly influenced by synthesis temperature, hydrothermal treatment time, and silicon precursor concentration and does not depend on acid concentration. Moreover, it was shown that when the formation of anatase TiO 2 takes place, the amorphous titanium species dispersed into the silica materials are resolubilized in the acidic solution increasing the fraction of bulk anatase into the mesoporous silica.

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 score0.002
Threshold uncertainty score0.827

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.015
GPT teacher head0.238
Teacher spread0.223 · 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

Citations74
Published2008
Admission routes1
Has abstractyes

Explore more

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