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Record W2082775542 · doi:10.1021/la901511v

Synthesis, Properties, and Mechanistic Insight into the Self-Assembly of a Lamellar Fibrous Superstructure from a Synthetically Simple Discotic Molecule

2009· article· en· W2082775542 on OpenAlexafffund
Christophe Danumah, Rachel L. Beingessner, Azizul Haque, Fuqiang Ban, Jeremy P. Richards, Andriy Kovalenko, Hicham Fenniri

Bibliographic record

VenueLangmuir · 2009
Typearticle
Languageen
FieldMaterials Science
TopicSupramolecular Self-Assembly in Materials
Canadian institutionsNational Institute for NanotechnologyUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsLamellar structurevan der Waals forceDifferential scanning calorimetryCrystallographyMaterials scienceStackingMoleculeSuperstructureScanning electron microscopeChemistryComposite materialOrganic chemistry

Abstract

fetched live from OpenAlex

The discotic molecule 4-chloro-2,6-bis(octadecylamino)-pyrimidine-5-carbaldehyde, displays gelation behavior in dodecane, heptane, chloroform, and dichloromethane. The aggregation behavior of this material was studied by dynamic light scattering, differential scanning calorimetry, scanning electron microscopy, polarized optical microscopy, small-angle X-ray diffraction, and wide-angle X-ray diffraction techniques. Combined with molecular modeling calculations, Fourier transform infrared, and 1H NMR studies, we propose a mechanism for the self-assembly of this fibrous lamellar architecture. Notably, we have shown that the fibers grow via stacking interactions along their main axis, via hydrogen bonding along their short axis, and via van der Waals interactions (lamellae) along the third axis. This type of morphology is desirable since it provides an opportunity to synthetically control and optimize mechanical, electrical, optical, and transport properties along the length of the fiber.

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 score0.004
Threshold uncertainty score0.774

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 science0.0010.000
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 head0.009
GPT teacher head0.209
Teacher spread0.200 · 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

Citations4
Published2009
Admission routes2
Has abstractyes

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