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Record W2461183622 · doi:10.1177/026248930202100401

Sorption, Diffusion, and Dilation in Linear and Branched Polycarbonate–CO <sub>2</sub> Systems in Relation to Solid State Processing of Microcellular Foams

2002· article· en· W2461183622 on OpenAlexaff
Y. P. Handa, Zhiyi Zhang

Bibliographic record

VenueCellular Polymers · 2002
Typearticle
Languageen
FieldMaterials Science
TopicPolymer Foaming and Composites
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsDilatometerMaterials scienceSolubilitySorptionThermal diffusivityPolycarbonateDissolutionThermodynamicsGravimetric analysisDiffusionGlass transitionGaseous diffusionPolymerChemical engineeringAnalytical Chemistry (journal)Composite materialPhysical chemistryOrganic chemistryThermal expansionChemistry

Abstract

fetched live from OpenAlex

The sorption and diffusion of CO 2 in linear and branched polycarbonates were investigated using a high-temperature, high-pressure gravimetric technique. The branched structure does not affect gas solubility, but affects the gas diffusivity in the sub-T g region, with CO 2 diffusing faster through the branched structure than the linear one. Both solubility and diffusivity depend linearly on pressure at temperatures above T g , but demonstrate complicated pressure dependence at temperatures below T g . In the sub-T g region, volume change of the polymer matrix accompanying the gas dissolution was measured using a dilatometer. The plasticized T g s obtained from dilation and solubility measurements agreed with those obtained directly by high-pressure DSC. In addition, a plasticization related densification phenomenon was observed in the sub-T g region. The competing effects of dilation and densification suggest significant implications in terms of solid state processing of microcellular foams.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.209
Teacher spread0.201 · 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 source (direct Gemma or distilled Codex), 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

Citations9
Published2002
Admission routes1
Has abstractyes

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