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Record W2081793557 · doi:10.1103/physreve.84.041803

Dependence of the disorder-lamellar stability boundary of a melt of asymmetric wormlike<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mi>A</mml:mi><mml:mi>B</mml:mi></mml:mrow></mml:math>diblock copolymers on the chain rigidity

2011· article· lv· W2081793557 on OpenAlex
Ying Jiang, Wuyang Zhang, Jeff Z. Y. Chen

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenuePhysical Review E · 2011
Typearticle
Languagelv
FieldMaterials Science
TopicBlock Copolymer Self-Assembly
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsGaussianPhase diagramPhase boundaryPhase transitionStatistical physicsThermodynamicsLamellar structureChain (unit)Materials sciencePhase (matter)PhysicsQuantum mechanics

Abstract

fetched live from OpenAlex

We study the disorder-order transition boundary of wormlile AB diblock copolymers on the basis of the wormlike chain formalism aided by a self-consistent mean-field treatment. We examine the influence of the persistency on the phase diagram and properties of the phase transition as a function of the volume fraction, Flory-Huggins parameter, and relative chain rigidity, covering a broad regime spanning from the Gaussian chain to rigid rodlike chain. On the one hand, we demonstrate that the results from a Gaussian-weight-based theory can be recovered in the long-chain limit and, on the other hand, we display that significant revisions to the phase diagram, due to the persistency effects, exist for shorter chains. A split-step numerical algorithm is designed for the computational task.

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.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.968
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0020.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.025
GPT teacher head0.256
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