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Record W2623725244 · doi:10.1360/zb2012-42-1-114

The effect of solvent in evaporation-inducedself-assembly: A case study of benzeneperiodic mesoporous organosilica

2012· article· en· W2623725244 on OpenAlexaff
Geoffrey A. Ozin, Jonathon Moir, Wendong Wang, Daniel Faulkner

Bibliographic record

VenueScientia Sinica Chimica · 2012
Typearticle
Languageen
FieldMaterials Science
TopicMesoporous Materials and Catalysis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMesoporous materialMesoporous organosilicaEvaporationSolventChemical engineeringMaterials scienceChemistryMesoporous silicaOrganic chemistryCatalysisEngineeringThermodynamicsPhysics

Abstract

fetched live from OpenAlex

Volatile organic solvents were considered to have little influence on the synthesis of mesostructured materials through evaporation-induced self-assembly (EISA), because upon evaporation they leave the sol and hence do not interfere with the self-assembly process. We show here that the choice of solvent is crucial in the synthesis of thin films of phenylene-bridged periodic mesoporous organosilica (benzene PMO). Methanol is found to be a better solvent for the synthesis of thin films, whereas ethanol favors the formation of (HO)<sub>3</sub>Si-C<sub>6</sub>H<sub>4</sub>-Si(OH)<sub>3</sub> crystals, the identity and structure of which is established by X-ray diffraction. A ternary reactant composition diagram is designed to visualize the relationship among multiple synthesis experiments and to guide the interpretation of experimental results and optimization of the quality of the periodic mesoporous organosilica film. Our study highlights the importance of solvent choice, a factor often neglected in EISA. We expect it to inspire researchers to explore the effect of solvent in designing the synthesis of mesoporous materials.

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)0.005
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 score0.006
Threshold uncertainty score0.620

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.011
GPT teacher head0.273
Teacher spread0.262 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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