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Record W2053466906 · doi:10.1021/la025590o

Formation of Conjugated Azomethine Oligomers on Quartz and Silicon Oxide Surfaces

2002· article· en· W2053466906 on OpenAlexafffund
J Dinglasan, Ehtesham Baig, Al-Amin Dhirani

Bibliographic record

VenueLangmuir · 2002
Typearticle
Languageen
FieldEngineering
TopicMolecular Junctions and Nanostructures
Canadian institutionsUniversity of Toronto
FundersConnaught Fund
KeywordsMonomerSilicon oxideFourier transform infrared spectroscopyReaction rate constantMaterials scienceInfrared spectroscopySiliconPolymer chemistryCatalysisQuartzConjugated systemChemistryPolymerAnalytical Chemistry (journal)PhotochemistryChemical engineeringKineticsOrganic chemistrySilicon nitrideComposite material

Abstract

fetched live from OpenAlex

We describe a solution phase method to generate conjugated oligoazomethine assemblies on quartz and silicon oxide surfaces. The method is based on a controlled iminization reaction in which aromatic aldehydes and amines (1,4-terephthaldicarboxaldehyde, TPDA, and 1,4-phenylenediamine, PPDA) are sequentially assembled onto amino-functionalized substrates. Polarized attenuated total reflectance Fourier transform infrared spectroscopy and spectroscopic ellipsometry confirm monomer assembly on oxidized silicon surfaces. Using UV−visible spectroscopy with quartz substrates, we explored the roles of temperature, acid catalyst, and monomer concentration on rates of film formation. Arrhenius plots of observed rate constants yielded values for activation energies of 28 ± 7, 14 ± 7, and 17 ± 8 kJ mol - 1 for uncatalyzed TPDA, catalyzed TPDA, and catalyzed PPDA assembly, respectively. Observed rate constants for TPDA assembly grew linearly with monomer concentration, while those for PPDA assembly were independent of monomer concentration. Fully formed films were found to be remarkably stable to repeated sonication and exposure to solvents at elevated temperatures.

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 score0.100
Threshold uncertainty score0.210

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.009
GPT teacher head0.192
Teacher spread0.183 · 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

Citations6
Published2002
Admission routes2
Has abstractyes

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