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Record W2012449064 · doi:10.1063/1.4873791

Comparison of melting and crystallization behaviors of polylactide under high-pressure CO2, N2, and He

2014· article· en· W2012449064 on OpenAlexaff
Mohammadreza Nofar, Alireza Tabatabaei, A. Ameli, Chul B. Park

Bibliographic record

VenueAIP conference proceedings · 2014
Typearticle
Languageen
FieldMaterials Science
TopicPolymer Foaming and Composites
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCrystallizationMaterials scienceCrystallinityDifferential scanning calorimetryHeliumSolubilityChemical engineeringComposite materialThermodynamicsOrganic chemistryChemistry

Abstract

fetched live from OpenAlex

This study investigated the melting and crystallization behaviors of polylactide (PLA) under high-pressure CO2, N2, and helium (He) using a high-pressure differential scanning calorimeter. The results showed that the PLA's melting temperature was depressed only in contact with pressurized CO2 where at high CO2 pressures the lubricating gas molecules induced more imperfect melt and cold crystals during the cooling and heating cycles, respectively. PLA's melt crystallization was analyzed during nonisothermal processes. Despite the effect of dissolved CO2 that expedited the PLA's crystallization rate, N2 showed almost a neutral impact on the PLA's crystallization kinetics. Because of the lower solubility, N2 gas content dissolved in the PLA had a diminutive plasticization effect, and thereby it could only counterbalance its negative hydraulic pressure effect. Moreover, as the helium pressure increased, the PLA's final crystallinity was reduced due to the dominant effect of helium's hydraulic pressure.

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 score0.066
Threshold uncertainty score0.443

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 head0.019
GPT teacher head0.272
Teacher spread0.253 · 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

Citations6
Published2014
Admission routes1
Has abstractyes

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