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Record W2858669635 · doi:10.1103/physreve.98.010501

Molecular mobility in driven monomeric and polymeric glasses

2018· article· en· W2858669635 on OpenAlexafffund
Jörg Rottler

Bibliographic record

VenuePhysical review. E · 2018
Typearticle
Languageen
FieldMaterials Science
TopicMaterial Dynamics and Properties
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsGlass transitionRheologySupercoolingRelaxation (psychology)Condensed matter physicsShear modulusSigmaMaterials scienceStrain hardening exponentMonomerThermodynamicsPhysicsPolymerCrystallographyChemistryComposite materialQuantum mechanics

Abstract

fetched live from OpenAlex

We show that in monomeric supercooled liquids and glasses that are plastically flowing at a constant shear stress $\ensuremath{\sigma}$ while being deformed with strain rate $\stackrel{\ifmmode \dot{}\else \.{}\fi{}}{\ensuremath{\epsilon}}$, the microscopic structural relaxation time ${\ensuremath{\tau}}_{\mathrm{str}}$ is given by the universal relation $\ensuremath{\sigma}/{G}_{\ensuremath{\infty}}\stackrel{\ifmmode \dot{}\else \.{}\fi{}}{\ensuremath{\epsilon}}$ with ${G}_{\ensuremath{\infty}}$ a modulus. This equality holds for all rheological regimes from temperatures above the glass transition all the way to the athermal limit, and arises from the competing effects of elastic loading and viscous dissipation. In macromolecular (polymeric) glasses, however, the stress decouples from this relaxation time and ${\ensuremath{\tau}}_{\mathrm{str}}$ is in fact further reduced even though $\ensuremath{\sigma}$ rises during glassy strain hardening. We develop expressions to capture both effects and thus provide a framework for analyzing mobility measurements in glassy materials.

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 score0.110
Threshold uncertainty score0.314

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 head0.011
GPT teacher head0.298
Teacher spread0.287 · 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
Published2018
Admission routes2
Has abstractyes

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