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Record W1996342450 · doi:10.1002/app.1813

A comparative study of polystyrene decomposition in supercritical water and air environments using diamond anvil cell

2001· article· en· W1996342450 on OpenAlexaff
Zhen Fang, Janusz A. Koziński

Bibliographic record

VenueJournal of Applied Polymer Science · 2001
Typearticle
Languageen
FieldEngineering
TopicSubcritical and Supercritical Water Processes
Canadian institutionsMcGill University
Fundersnot available
KeywordsPolystyreneSupercritical fluidDecompositionDepolymerizationSolubilityChemical engineeringIsothermal processMaterials sciencePolymer chemistryAnalytical Chemistry (journal)ChemistryPhysical chemistryOrganic chemistryPolymerComposite materialThermodynamics

Abstract

fetched live from OpenAlex

Abstract Polystyrene (PS) decomposition in supercritical water (SCW) and in air was studied with the diamond anvil cell (DAC) technique coupled with microscopy and FTIR. Apparent concentrations were calculated by using digital imaging analysis. When PS + water systems (11.8–22.6 wt % PS) were rapidly heated at a rate of 2.3°C/s, the PS particle melted at 279.8–320.2°C. After formation of a globule at 409.3–452.5°C, the globule started to dissolve in color to yellow at 496.1°C. At 570.3°C and 742.5 MPa, solubility reached the maximum of 91.5 wt % (11.8 wt % PS). The soluble material was a styrenelike liquid, which was identified by IR after cooling. In isothermal runs at 400 and 450°C, two heterogeneous liquid phases consisting of water and decomposed PS were found. Styrenelike liquid products were identified after the reactions. PS decomposition stages in air consisted of melting, gas generation, liquid ring configuration, and finally yellow volatile products formation at 583.2°C. The results show conclusively that PS can be dissolved in SCW above 496.1°C and homogenous reaction is likely to occur above 570.3°C. Reactions in SCW at 400 and 450°C take place in heterogeneous liquid phases, while in the PS + air system, a formed liquid ring undergoes depolymerization. © 2001 John Wiley & Sons, Inc. J Appl Polym Sci 81: 3565–3577, 2001

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.354

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 integrity0.0000.000
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 head0.015
GPT teacher head0.258
Teacher spread0.243 · 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

Citations13
Published2001
Admission routes1
Has abstractyes

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