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Record W1972482548 · doi:10.1021/jp011195f

Synthesis of Porous Organosilicates in the Presence of Alkytrimethylammonium Chlorides:  Effect of the Alkyl Chain Length

2001· article· en· W1972482548 on OpenAlexaff
Safia Hamoudi, Yong Yang, Igor Moudrakovski, Stephen Lang, Abdelhamid Sayari

Bibliographic record

VenueThe Journal of Physical Chemistry B · 2001
Typearticle
Languageen
FieldMaterials Science
TopicMesoporous Materials and Catalysis
Canadian institutionsUniversité LavalSteacie Institute for Molecular Sciences
Fundersnot available
KeywordsMicroporous materialAlkylPulmonary surfactantChemical engineeringMaterials scienceMesoporous materialPorosityCarbon chainAmorphous solidAdsorptionSupramolecular chemistryCarbon fibersCrystallographyChemistryOrganic chemistryCrystal structureCatalysisComposite material

Abstract

fetched live from OpenAlex

A series of organosilicates were prepared using 1,2-bis(trimethoxysilyl)ethane (BTME) as silica precursor and alkyltrimethylammonium chloride (C n TMACl) surfactants with different chain lengths ( n = 8, 10, 12, 14, 16, 18) as supramolecular templating materials. 13 C and 29 Si NMR data showed that after surfactant extraction, all samples consisted of pure organosilicate. Additional characterization techniques, that is, XRD, N 2 adsorption, and SEM, were also used to gain insights into the structure, porosity, and morphology of the materials. These properties were found to be strongly dependent on the surfactant chain length and the preparation conditions. Materials prepared in the presence of surfactants with the shortest carbon chains were microporous akin to amorphous organosilicate xerogels. However, in the presence of long chain surfactants, periodic mesoporous organosilicates with narrow pore size distributions occurred. The pore sizes of such materials were found to increase with the surfactant carbon chain length. With only one exception, these materials exhibited two-dimensional hexagonal symmetry.

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)0.003
metaresearch head score (Gemma)0.001
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 score0.290

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
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)0.0000.000

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 head0.006
GPT teacher head0.232
Teacher spread0.225 · 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

Citations79
Published2001
Admission routes1
Has abstractyes

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