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Record W2334825512 · doi:10.1021/ie502300j

Influence of Stretching on the Performance of Polypropylene-Based Microporous Membranes

2014· article· en· W2334825512 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2014
Typearticle
Languageen
FieldMaterials Science
TopicPolymer crystallization and properties
Canadian institutionsMcGill UniversityPolytechnique Montréal
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMembraneMicroporous materialInterconnectivityPolypropyleneMaterials scienceChemical engineeringPermeationPermeability (electromagnetism)Annealing (glass)ExtrusionComposite materialPolymer chemistryChemistry

Abstract

fetched live from OpenAlex

We analyze the pore structure changes during the fabrication of polypropylene-based microporous membranes via the stretching method. The membranes were prepared via melt extrusion followed by annealing and stretching at room temperature and at an elevated temperature (cold and hot stretching steps, respectively). Understanding the pore formation mechanisms is important for effective control of the membrane performance. Hence, the pore structure along the membrane surface and across the thickness, which determined the size, number, and interconnectivity of the pores, was analyzed to quantify the effect of stretching on the membrane performance. The cold stretching step was found to be the important one for promoting interconnection between the pores. Furthermore, it was shown that applying a low strain rate improved the permeability of the membranes. Finally, no maximum was observed in the permeability by increasing the stretch ratio during the hot stretching step.

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.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.088
Threshold uncertainty score0.334

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.051
GPT teacher head0.275
Teacher spread0.224 · 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