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Record W4210881825 · doi:10.1063/5.0079900

General rigid bead-rod theory with hydrodynamic interaction for polymer viscoelasticity

2022· article· en· W4210881825 on OpenAlexafffund
Myong Chol Pak, Kwang-Il Kim, M. A. Kanso, A. Jeffrey Giacomin

Bibliographic record

VenuePhysics of Fluids · 2022
Typearticle
Languageen
FieldChemical Engineering
TopicRheology and Fluid Dynamics Studies
Canadian institutionsKingston Health Sciences CentreQueen's University
FundersRES’EAU-WaterNET
KeywordsMacromoleculeRheologyViscoelasticityPolymerViscosityPhysicsBeadClassical mechanicsPolymer scienceChemical physicsMaterials scienceThermodynamicsChemistryComposite material

Abstract

fetched live from OpenAlex

General rigid bead-rod theory is actively used for connecting the complex viscosity of polymeric liquids to the structure of macromolecules. Using general rigid bead-rod theory, the rheological properties of polymeric liquids have been investigated theoretically and applied practically. In this paper, we include the hydrodynamic interaction of the nearest neighboring beads into general rigid bead-rod theory. By applying our new method, structure by structure, to backbone branched macromolecular configurations, we investigate the interplay of hydrodynamic interaction with the number of branches, branch length, and branch positions. We learn that the effect of hydrodynamic interaction is greater in branched macromolecules than in unbranched. In the future, this method will play an important role in the study of the rheological properties of polymeric liquids, wherever hydrodynamic interaction matters.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.876
Threshold uncertainty score0.555

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 head0.008
GPT teacher head0.234
Teacher spread0.226 · 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 designSimulation or modeling
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

Citations14
Published2022
Admission routes2
Has abstractyes

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