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Record W2053673215 · doi:10.1039/b9nj00734b

Generic way for functionalised well-ordered cubic mesoporous silica via direct synthesis approach

2010· article· en· W2053673215 on OpenAlexaff
Arnaud Boullanger, Johan G. Alauzun, Ahmad Mehdi, Catherine Reyé, Robert J. P. Corriu

Bibliographic record

VenueNew Journal of Chemistry · 2010
Typearticle
Languageen
FieldMaterials Science
TopicMesoporous Materials and Catalysis
Canadian institutionsMcMaster University
FundersCentre National de la Recherche Scientifique
KeywordsChemistryMesoporous materialAdsorptionLanthanideMesoporous silicaDesorptionChemical engineeringElemental analysisPorosityMesoporous organosilicaCondensationNanotechnologyInorganic chemistryIonOrganic chemistryCatalysisMaterials science

Abstract

fetched live from OpenAlex

Applications of functionalised mesoporous silica are dependent upon the location, the quantity and the accessibility of the functional groups attached in the inner pores, particularly in the case of cubic ordered porous structure. Facilitating such material synthesis could be of great interest. Herein, we present a controlled and generic route to functionalised and well-ordered cubic mesoporous silica by direct synthesis and an efficient method for complete template removal without structure collapse nor loss of organic content, leading to better functional accessibility and thus material capability. Materials were obtained by co-condensation of tetraethylorthosilicate (TEOS) and an organotriethoxysilane Σ-(CH2)3-Si(OR′)3 (with R′ = Me or Et and Σ = CN, SH, CH3COCHCOCH3 (acac) and PO(OEt)2) in the presence of F127 as structure-directing agent in acidic media. All materials were characterised by XRD, TEM, TGA, 13C and 29Si NMR spectroscopies, nitrogen gas adsorption–desorption measurements as well as elemental analyses. Functional accessibility and adsorption capacity of such materials were proved by complexation of lanthanide ions thanks to acac groups.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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 score0.008
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0060.000

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 head0.010
GPT teacher head0.215
Teacher spread0.205 · 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

Citations13
Published2010
Admission routes1
Has abstractyes

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