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Record W2072060953 · doi:10.1080/08957950903484410

Molecular dynamics simulations of oil components at geological conditions

2009· article· en· W2072060953 on OpenAlexafffund
J. Ho, Sarah Reimer, Noham Weinberg

Bibliographic record

VenueHigh Pressure Research · 2009
Typearticle
Languageen
FieldEngineering
TopicPhase Equilibria and Thermodynamics
Canadian institutionsUniversity of the Fraser Valley
FundersUniversidad del ValleWestern Canada Research GridUniversity of the Fraser Valley
KeywordsOctadecaneMolecular dynamicsDodecaneThermodynamicsWork (physics)Bar (unit)HexadecaneChemistryMaterials scienceChemical physicsComputational chemistryPhysicsMeteorologyOrganic chemistry

Abstract

fetched live from OpenAlex

Modern methods of computational chemistry, including molecular dynamics and quantum mechanics of molecular systems, allow one to obtain accurate values of structural parameters and physicochemical properties of complex systems for a wide range of temperatures and pressures without resorting to experiment. In this work, we explore the effects of physical conditions on densities and viscosities of typical petroleum components, including hexane, octane, dodecane, and octadecane, for temperatures and pressures ranging from ambient conditions (298 K, 1 bar) to geophysical conditions of the upper mantle (2000 K, 60 kbar). Theoretical results are compared with the experimental data and show good agreement in the case of densities and somewhat poorer agreement for viscosities (diffusion coefficients).

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.032
GPT teacher head0.320
Teacher spread0.288 · 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 source (direct Gemma or distilled Codex), 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
Published2009
Admission routes2
Has abstractyes

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