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Record W2773040972 · doi:10.1021/acs.jced.7b00805

Phase Behavior for Poly(vinylacetate) + Carbon Dioxide + Cosolvent Ternary Systems

2017· article· en· W2773040972 on OpenAlexaff
Teng Zhu, Houjian Gong, Mingzhe Dong, Zehao Yang, Chunqing Guo, Mei Liu

Bibliographic record

VenueJournal of Chemical & Engineering Data · 2017
Typearticle
Languageen
FieldEngineering
TopicPhase Equilibria and Thermodynamics
Canadian institutionsUniversity of Calgary
FundersMinistry of Science and Technology of the People's Republic of ChinaMinistry of Education of the People's Republic of China
KeywordsCloud pointTernary operationBubble pointSupercritical carbon dioxideThermodynamicsChemistryTernary numeral systemAcetic acidPolyvinyl acetateSupercritical fluidPhase (matter)Carbon dioxidePhase transitionEthyl acetateBubbleOrganic chemistryAqueous solutionPolymerPhysics

Abstract

fetched live from OpenAlex

Experimental cloud point and bubble point data of ternary mixtures for poly(vinylacetate) (PVAc) and cosolvents in carbon dioxide (CO 2 ) are studied using the supercritical CO 2 phase behavior device. The cloud point and bubble point pressures are determined by measuring the resistance variation of photoresistance. Acetate acid and ethyl acetate have been selected as the cosolvents. These systems show phase behavior over a temperature range of 308.2–338.2 K and pressure of up to 50 MPa. The transition point pressure increases as the temperature increases. The transition point isopleths for the PVAc + CO 2 + cosolvent ternary systems show upper critical solution pressure types. The cloud point and bubble point curves for the PVAc + CO 2 + cosolvent systems decrease rapidly as the cosolvent concentration increases. When the mass ratio of PVAc and cosolvents is fixed at 1:7, the transition point pressures increase as CO 2 increases. Compared with acetic acid and ethyl acetate, the transition point pressures of the PVAc + CO 2 mixtures, containing the two cosolvents, show that the pressure for acetate acid is less than that of ethyl acetate under the same conditions. The phase behaviors of these ternary systems are calculated using the perturbed-chain statistical associating fluid theory equation of state by adjusting the binary interaction parameter k ij . Our models are in very good agreement with the experimental data.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.885
Threshold uncertainty score0.834

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 science0.0010.000
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 head0.030
GPT teacher head0.290
Teacher spread0.260 · 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

Citations11
Published2017
Admission routes1
Has abstractyes

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