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Record W1986833294 · doi:10.1021/la000094q

Polyethylene Melt Adsorption and Desorption during Flow on High-Energy Surfaces:  Characterization of Postextrusion Die Wall by Laser Scanning Confocal Fluorescence Microscopy

2000· article· en· W1986833294 on OpenAlexaff
Justin R. Barone, Shaoqing Wang, José Paulo S. Farinha, Mitchell A. Winnik

Bibliographic record

VenueLangmuir · 2000
Typearticle
Languageen
FieldChemical Engineering
TopicRheology and Fluid Dynamics Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsConfocal laser scanning microscopyPolyethyleneDesorptionAdsorptionConfocalMaterials scienceFluorescenceCharacterization (materials science)Scanning electron microscopeChemical engineeringFluorescence microscopeAnalytical Chemistry (journal)MicroscopyDie (integrated circuit)Confocal microscopyMicroparticleChemistryNanotechnologyChromatographyComposite materialOpticsBiophysicsOrganic chemistry

Abstract

fetched live from OpenAlex

In this paper we report results that delineate the state of polymer adsorption on high-energy surfaces following no-slip and slip flow. The experiments were performed by precoating a slit die wall made of a silicon wafer with a thin layer of fluorescent dye-labeled-polyethylene (FPE) and then extruding through the slit die a nonfluorescent polyethylene both below and above the interfacial stick−slip transition (SST). Using a laser scanning confocal fluorescence microscope, the postextrusion die walls were examined to check for the existence of the preadsorbed FPE. It is shown that the preadsorbed fluorescent polyethylene (PE) chains were still present after the stick−slip transition. The presence of adsorbed polymer chains following slip flow supports the previously proposed “cohesive” mechanism for the SST of PE on highly adsorbing surfaces.

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 score0.200
Threshold uncertainty score0.646

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 head0.004
GPT teacher head0.193
Teacher spread0.189 · 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
Published2000
Admission routes1
Has abstractyes

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