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Record W2314244308 · doi:10.1021/ma401324a

Polygonal Micellar Aggregates of a Triblock Terpolymer Containing a Liquid Crystalline Block

2013· article· en· W2314244308 on OpenAlexafffund
Xiaoyu Li, Yang Gao, Xiangjun Xing, Guojun Liu

Bibliographic record

VenueMacromolecules · 2013
Typearticle
Languageen
FieldChemistry
TopicAdvanced Polymer Synthesis and Characterization
Canadian institutionsQueen's University
FundersNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of ChinaCanada Research Chairs
KeywordsCopolymerToroidMaterials scienceBendingCylinderBlock (permutation group theory)NanometreMicelleMorphology (biology)Chemical physicsPolymer chemistryChemical engineeringComposite materialGeometryChemistryPhysicsPolymerPhysical chemistryMathematics

Abstract

fetched live from OpenAlex

Block copolymers self-assemble in block-selective solvents into diverse nanometer-sized micellar aggregates (MAs). Understanding the formation mechanisms of these morphologies is challenging but important for the design and synthesis of block copolymer architectural materials. Here we report our discovery that polygonal or enclosed cylindrical MAs bearing sharp bends can be formed from a triblock terpolymer containing a liquid crystalline block. We propose that the sharp bends are formed mainly to enable approximately straight sides in which the liquid crystalline packing of the core block is facilitated and the cylinder bending energy is reduced. However, this energy reduction is counteracted by an energy increase due to the concentration of smectic edge dislocations at the vertices. Thus, polygonal MAs are formed only when the toroidal MAs are sufficiently small and the cylinders experience significant bending. We theoretically estimate critical toroidal size below which the transition from round toroids to polygons occurs. This estimated size agrees with our experimental observations, supporting our hypothesis and analysis.

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 categoriesInsufficient payload (model declined to judge)
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 score0.004
Threshold uncertainty score0.999

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)0.0020.000

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 head0.007
GPT teacher head0.209
Teacher spread0.202 · 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 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

Citations47
Published2013
Admission routes2
Has abstractyes

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