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Record W1984880140 · doi:10.1103/physreve.68.061704

Shear-induced textural transitions in flow-aligning liquid crystal polymers

2003· article· en· W1984880140 on OpenAlexafffund
Dana Grecov, Alejandro D. Rey

Bibliographic record

VenuePhysical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · 2003
Typearticle
Languageen
FieldMaterials Science
TopicLiquid Crystal Research Advancements
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of CanadaNational Science Foundation
KeywordsNucleationDimensionless quantityMaterials scienceDeborah numberShear rateCondensed matter physicsShear (geology)Thermotropic crystalLattice (music)Length scaleScalingLyotropicShear flowTexture (cosmology)Liquid crystalThermodynamicsPolymerPhysicsMechanicsComposite materialGeometryRheologyLiquid crystalline

Abstract

fetched live from OpenAlex

The equations of nematodynamics are formulated, solved, and used to model textural transformations in sheared thermotropic flow-aligning nematic polymers. The solutions are classified and characterized using analytical, scaling, and numerical methods. It is found that as the shear rate increases, the pathway between an oriented nonplanar state and an oriented planar state is through texture formation and coarsening. The two shear-rate dependent dimensionless numbers that control the texture formation and coarsening process are Ericksen Er and Deborah De numbers. The emergence of texture is independent of the Deborah number, and occurs at $\mathrm{Er}{=10}^{4}.$ As the shear rate increases and $\mathrm{Er}>{10}^{4}$ the first texture that arises is a defect lattice. Further increases of the shear rate bring De close to 1, ignite the coarsening processes, and replace the defect lattice with a defect gas. The smallest texture length scale ${\mathcal{l}}_{t}$ occurs at the defect lattice-defect gas transition. In the defect lattice regime the texture length scale decreases with increasing shear rate as ${\mathcal{l}}_{t}\ensuremath{\propto}(\stackrel{\ifmmode \dot{}\else \.{}\fi{}}{\ensuremath{\gamma}}\ensuremath{-}{a)}^{\ensuremath{-}1/2},$ while in the defect gas regime it increases as ${\mathcal{l}}_{t}\ensuremath{\propto}(\stackrel{\ifmmode \dot{}\else \.{}\fi{}}{\ensuremath{\gamma}}\ensuremath{-}b\sqrt{(\stackrel{\ifmmode \dot{}\else \.{}\fi{}}{\ensuremath{\gamma}}\ensuremath{-}a)}\ensuremath{-}c{)}^{\ensuremath{-}1}.$ Finally when $\mathrm{De}>2,$ an oriented monodomain state emerges, and the texture vanishes since coarsening overpowers defect nucleation. It is found that the texture transition cascade $\mathrm{unoriented}\mathrm{}\mathrm{monodomain}\ensuremath{\Rightarrow}\mathrm{defect}\mathrm{}\mathrm{lattice}\ensuremath{\Rightarrow}\mathrm{defect}\mathrm{}\mathrm{gas}\ensuremath{\Rightarrow}\mathrm{oriented}\mathrm{}\mathrm{monodomain}$ is remarkably consistent with the experimentally observed textural transitions of sheared lyotropic nematic polymers.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.509
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.335
Teacher spread0.317 · 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.

Study designTheoretical or conceptual
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

Citations29
Published2003
Admission routes2
Has abstractyes

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