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Record W2054519018 · doi:10.1021/ef060130e

Hexabenzocoronene Model Compounds for Asphaltene Fractions:  Synthesis & Characterization

2006· article· en· W2054519018 on OpenAlexaff
Felaniaina Rakotondradany, Hicham Fenniri, Parviz Rahimi, Keith L. Gawrys, Peter K. Kilpatrick, Murray R. Gray

Bibliographic record

VenueEnergy & Fuels · 2006
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsNational Institute for NanotechnologyUniversity of Alberta
Fundersnot available
KeywordsAsphalteneAlkylVapor pressure osmometryChemistryOsmometerHeteroatomOrganic chemistryStackingVapor pressureAnalytical Chemistry (journal)Chemical engineering

Abstract

fetched live from OpenAlex

Asphaltenes are the fraction of bitumen with the highest molecular weight, containing polyaromatic hydrocarbons rich in heteroatoms and polar groups that result in strong self-association under extraction and upgrading conditions. The synthesis of alkylated hexabenzocoronenes is here reported to provide new insight into the behavior of bitumen residue fractions. The self-association behavior of these polyaromatic model compounds is investigated over a range of temperatures using vapor pressure osmometry (VPO), nuclear magnetic resonance (NMR), optical and electron microscopy, X-ray and small-angle neutron scattering, and calorimetry (DSC/TGA). In addition to these experimental studies, computational studies are used to determine the contribution of alkyl−alkyl and π − π stacking interactions to this association behavior. Experimental and computational results are compared to asphaltene properties under extraction and upgrading conditions, as well as to the archipelago and pericondensed models proposed for asphaltenes.

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 score0.254
Threshold uncertainty score0.828

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 head0.016
GPT teacher head0.239
Teacher spread0.223 · 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

Citations59
Published2006
Admission routes1
Has abstractyes

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