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Record W2092659801 · doi:10.1021/cm050960q

SBA-15 Templated Mesoporous Carbon:  New Insights into the SBA-15 Pore Structure

2005· article· en· W2092659801 on OpenAlexaff
Abdelhamid Sayari, Yong Yang

Bibliographic record

VenueChemistry of Materials · 2005
Typearticle
Languageen
FieldMaterials Science
TopicMesoporous Materials and Catalysis
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMesoporous materialMicroporous materialMaterials scienceCarbonizationChemical engineeringTemplateFurfuryl alcoholCarbon fibersMesoporous organosilicaNanotechnologyNanorodPorosityMesoporous silicaOrganic chemistryCatalysisChemistryComposite materialScanning electron microscopeComposite number

Abstract

fetched live from OpenAlex

This work used a combination of designed synthesis conditions for SBA-15 to gain new insights into the genesis of micropores and secondary mesopores bridging the primary mesoporous channels. Different SBA-15 samples were prepared at low temperature (35 and 60 °C) without stirring to generate a simple monodispersed rodlike morphology. Sodium chloride was used to control the occurrence of micropores. All samples were used as templates for the synthesis of CMK-5 type (nanopipes) of porous carbons via carbonization of occluded poly(furfuryl alcohol). Detailed characterization of the silica templates, the carbon/silica composites, and the nanoporous carbons led to the following main conclusions: (i) Combination of inorganic salts with low synthesis temperature (ca. 35 °C) afforded SBA-15 silica free of micropores and secondary mesopores, akin to MCM-41. The corresponding carbon was fibrous in nature and did not retain the rodlike morphology of the template; (ii) the microporous as well as mesoporous bridges connecting the primary mesoporous channels of SBA-15 occur at temperatures as low as 60 °C. As the synthesis temperature increases, the microporous bridges tend to vanish, whereas the mesoporous bridges become more abundant. The corresponding carbon nanopipes, and by inference nanorods, exhibited the same morphology as the template.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.013
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
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)0.0130.000

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 head0.008
GPT teacher head0.219
Teacher spread0.211 · 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.

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

Citations84
Published2005
Admission routes1
Has abstractyes

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