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Record W2509200107 · doi:10.1021/je500982g

Measuring and Modeling the Solubility and Density for CO<sub>2</sub>–Toluene and C<sub>2</sub>H<sub>6</sub>–Toluene Systems

2015· article· en· W2509200107 on OpenAlexaff
Mohsen Zirrahi, Bahareh Azinfar, Hassan Hassanzadeh, Jalal Abedi

Bibliographic record

VenueJournal of Chemical & Engineering Data · 2015
Typearticle
Languageen
FieldEngineering
TopicPhase Equilibria and Thermodynamics
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsTolueneSolubilityChemistrySupercritical fluidThermodynamicsGibbs free energyExtraction (chemistry)Equation of stateParticle (ecology)Physical chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

An accurate thermodynamic model of CO 2 /toluene and C 2 H 6 /toluene systems is required to improve the design of industrial processes including separation, supercritical extraction, and fine particle production. We present new sets of experimental solubility data for CO 2 (298.15 ≤ T ≤363.15 K and P ≤ 5.1 MPa) and C 2 H 6 (294.15 ≤ T ≤363.15 K and P ≤ 3.65 MPa) in toluene as well as the corresponding liquid phase densities. The Peng–Robinson equation of state/excess Gibbs free energy model (PR-EoS/G E ) is applied to represent the experimental data over a wide range of temperatures and pressures. Our results show acceptable agreement between the experimental and calculated solubility and density data. The presented experimental data and thermodynamic model will find applications in the design of separation, extraction, and fine particle production processes.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.524
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.050
GPT teacher head0.238
Teacher spread0.188 · 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.

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

Citations21
Published2015
Admission routes1
Has abstractyes

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