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Record W2623064886 · doi:10.1122/1.4984759

On the molecular weight dependence of slip velocity of polymer melts

2017· article· en· W2623064886 on OpenAlexafffund
Emmanouil Chatzigiannakis, Marzieh Ebrahimi, Savvas G. Hatzikiriakos

Bibliographic record

VenueJournal of Rheology · 2017
Typearticle
Languageen
FieldChemical Engineering
TopicRheology and Fluid Dynamics Studies
Canadian institutionsUniversity of British Columbia
FundersCanadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada
KeywordsAdsorptionSlip (aerodynamics)PolymerStiffnessScalingMaterials scienceChemical physicsThermodynamicsChain (unit)ChemistryPhysicsPhysical chemistryComposite materialMathematics

Abstract

fetched live from OpenAlex

Theoretical models regarding the slip of polymer melts are compared with the experimental results of several researchers on the basis of the molecular weight (Mw) dependence of the slip velocity (Vs). Using simple assumptions, it is shown that agreement between theory and experiment can only be achieved if the models are adjusted to address the random adsorption density of polymer chains on high energy surfaces and the stiffness of the adsorbed chains as assessed by the molecular weight of entanglements. With respect to adsorption density, the transition from the mushroom to the overlap regime results in the development of interactions between adsorbed chain segments which changes the Vs-Mw scaling. As these interactions involve mutual entanglements, their development is hindered by the stiffness of the adsorbed chains. Accordingly, a novel regime within the overlap regime is proposed to exist, observed when the segments of the adsorbed chains are not flexible enough to interact with the neighboring chains.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.754
Threshold uncertainty score0.243

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.010
GPT teacher head0.241
Teacher spread0.231 · 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

Citations7
Published2017
Admission routes2
Has abstractyes

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