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Record W4412720126 · doi:10.1021/acs.macromol.5c01481

Stabilization of the C15 Phase in Binary Blends of Asymmetric AB<sub>2</sub> Linear-Branched Block Copolymers and B-Homopolymers

2025· article· en· W4412720126 on OpenAlexafffund
Jinbin Li, Jiayu Xie, Zhanhui Gan, S Zha, Tianyu Zheng, Zhuang Ma, An‐Chang Shi, Xue‐Hui Dong

Bibliographic record

VenueMacromolecules · 2025
Typearticle
Languageen
FieldMaterials Science
TopicBlock Copolymer Self-Assembly
Canadian institutionsMcMaster University
FundersBasic and Applied Basic Research Foundation of Guangdong ProvinceNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of China
KeywordsCopolymerBinary numberPolymer chemistryPhase (matter)Materials scienceBlock (permutation group theory)Polymer scienceThermodynamicsChemistryPolymerPhysicsOrganic chemistryMathematicsCombinatorics

Abstract

fetched live from OpenAlex

Two sets of binary blends were prepared by mixing core-selective B-homopolymers with either symmetric AB 2 or asymmetric AB 1 (B 2 ) linear-branched block copolymers, aiming to unravel the architectural effects on the formation of complex structures in polymer blends. The spatial distribution of homopolymers depends critically on both the copolymer architecture and homopolymer size. For short homopolymers, symmetric AB 2 blends exhibit a cylinder-to-lamellae transition as the homopolymer loading increases, while their asymmetric counterparts follow a transition sequence from spheres to cylinders and then to double gyroids. When long homopolymers are added, symmetric AB 2 block copolymers retain their initial cylindrical structures, whereas the Frank–Kasper σ and C15 phases are stabilized in the asymmetric systems. These precisely defined blends eliminate molecular uncertainties arising from molecular weight distribution and compositional variations. Our results underscore the significant impact of architectural symmetry on homopolymer partitioning that leads to distinct equilibrium morphologies, providing key insights into rational structural engineering via simple blending.

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 score0.005
Threshold uncertainty score0.887

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
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 head0.006
GPT teacher head0.248
Teacher spread0.242 · 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

Citations4
Published2025
Admission routes2
Has abstractyes

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