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Record W1984913955 · doi:10.1021/jp0218847

Phenomenological Models for the Generic van der Waals Equation of State and Critical Parameters

2003· article· en· W1984913955 on OpenAlexaff
Kyunil Rah, Byung Chan Eu

Bibliographic record

VenueThe Journal of Physical Chemistry B · 2003
Typearticle
Languageen
FieldEngineering
TopicPhase Equilibria and Thermodynamics
Canadian institutionsMcGill University
Fundersnot available
KeywordsSpinodalvan der Waals forceVan der Waals equationTheorem of corresponding statesQuadratic equationThermodynamicsEquation of stateStatistical physicsPhysicsPhenomenological modelQuadratic modelMathematicsVan der Waals radiusQuantum mechanicsStatisticsGeometry

Abstract

fetched live from OpenAlex

In this paper, phenomenological models for the generic van der Waals equation of state are proposed for the subcritical regime of a simple fluid by assuming empirical forms for the generic van der Waals parameters A and B . The models that are assumed are tested against the critical parameters. It is shown that quadratic and cubic models for A and B are shown to give good critical parameters. The quadratic and cubic models are then employed to calculate critical isotherms of argon and methane to determine which model is superior. It is found that the quadratic model yields excellent critical isotherms in comparison with experimental data and is much superior to the cubic model in the experimental range of density. The model equation of state is also used to determine the spinodal curve, which is shown to be closely related to the nonanalytic behavior of A and B with respect to temperature.

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)0.001
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0010.003
Open science0.0020.001
Research integrity0.0020.001
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 head0.033
GPT teacher head0.252
Teacher spread0.219 · 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

Citations22
Published2003
Admission routes1
Has abstractyes

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