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Record W2354538201

MOLECULAR MODELLING OF HEAVY COMPONENTS PRESENT IN ATHABASCA BITUMEN PITCH

2003· article· en· W2354538201 on OpenAlexaboutno aff
Jinsen Gao

Bibliographic record

VenueJournal of Chemical Industry and Engineering · 2003
Typearticle
Languageen
FieldEngineering
TopicAsphalt Pavement Performance Evaluation
Canadian institutionsnot available
Fundersnot available
KeywordsMolecular dynamicsMoleculeMacromoleculeAsphaltComputationRange (aeronautics)ChemistryMolecular mechanicsMolecular geometryMolecular conformationChemical physicsComputational chemistryMaterials scienceComputer scienceOrganic chemistryAlgorithmComposite material
DOInot available

Abstract

fetched live from OpenAlex

Based on the postulated 2D average molecular unit structures proposed by Zhao et al, 3D conformations for the end-cuts of Athabasca bitumen pitch in Canada were created using polymethylene bridges with different lengths by the Computer Aided Molecular Design (CAMD) method. Molecular Mechanics (MM) and Molecular Dynamics (MD) computations were carried out on these conformations to determine the lowest energy structures and hence the most stable conformations.The 3D conformations and the total energy of the target molecules were intimately related. It was found that the equivalent conformations in three dimensions were quite varied even though the two-dimensional structure remained exactly the same.This meaned that simple 2D structures of macromolecules could not adequately represent their structural, physical and chemical properties. The most likely polymethylene bridge lengths within the pitch end-cut molecules were estimated from the CAMD results; a value in the range of C4 to C6 was most likely.The probability of C1 and C2 bridges was less because their total energies were comparatively high.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.223
Threshold uncertainty score0.427

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 integrity0.0000.001
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 head0.030
GPT teacher head0.232
Teacher spread0.202 · 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 designSimulation or modeling
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

Citations2
Published2003
Admission routes1
Has abstractyes

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