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Record W2284365929 · doi:10.1021/acssuschemeng.6b00008

Effect of Unexpected CO<sub>2</sub>’s Phase Transition on the High-Pressure Differential Scanning Calorimetry Performance of Various Polymers

2016· article· en· W2284365929 on OpenAlexaff
Erbo Huang, Xia Liao, Chongxiang Zhao, Chul B. Park, Qi Yang, Guangxian Li

Bibliographic record

VenueACS Sustainable Chemistry & Engineering · 2016
Typearticle
Languageen
FieldMaterials Science
TopicPolymer Foaming and Composites
Canadian institutionsUniversity of Toronto
FundersDepartment of Science and Technology of Sichuan ProvinceNational Natural Science Foundation of China
KeywordsDifferential scanning calorimetryPolystyreneGlass transitionEndothermic processPolymerMaterials sciencePolycarbonatePhase transitionAnalytical Chemistry (journal)PlasticizerPhase (matter)TacticityPolymer chemistryHydrostatic pressureCrystallizationCalorimetryThermodynamicsChemistryComposite materialOrganic chemistryPolymerizationAdsorption

Abstract

fetched live from OpenAlex

We used a high-pressure differential scanning calorimeter (HP-DSC) to study polymer plasticization by compressed gases at pressures of up to 30 MPa for polylactide (PLA), polycarbonate (PC), isotactic polypropylene (iPP), and polystyrene (PS). The pressure reached values twice as high as the previously published data. We found that the polymer/carbon dioxide (CO 2 ) system’s heating curves have an unidentified endothermic peak above 5 MPa, which turns out to be from CO 2 ’s phase transition. The HP-DSC could accurately determine the depression of the glass transition temperature ( T g ), crystallization temperature ( T c ), and melting temperature ( T m ) of various polymers at low pressures by simply starting at a higher temperature to avoid CO 2 ’s phase transition; however, the increased plasticization effect of the dissolved CO 2 lowered the T g to the level of overlapping with CO 2 ’s phase transition phenomena at elevated pressures, and therefore, the depressed T g could not be measured above 6 MPa for PLA, PC, or PS. On the other hand, the T c of iPP decreased with an increase in pressure, whereas T m values of PLA and iPP decreased slightly with an increase in pressure and then remained almost unchanged above a certain pressure, which may indicate an increased hydrostatic pressure effect at elevated pressures.

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 score0.002
Threshold uncertainty score0.641

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 head0.002
GPT teacher head0.190
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.

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

Citations82
Published2016
Admission routes1
Has abstractyes

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