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Record W2779193577 · doi:10.1021/acsmacrolett.7b00818

Emergence and Stability of a Hybrid Lamella–Sphere Structure from Linear ABAB Tetrablock Copolymers

2017· article· en· W2779193577 on OpenAlexafffund
Bin Zhao, Wenbo Jiang, Lei Chen, Weihua Li, Feng Qiu, An‐Chang Shi

Bibliographic record

VenueACS Macro Letters · 2017
Typearticle
Languageen
FieldMaterials Science
TopicBlock Copolymer Self-Assembly
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of China
KeywordsLamella (surface anatomy)CopolymerMaterials scienceStability (learning theory)Computer scienceComposite materialPolymer

Abstract

fetched live from OpenAlex

The self-assembly of linear A 1 B 1 A 2 B 2 tetrablock copolymers is studied using the self-consistent field theory, aiming to target the formation of stable hybrid structures composed of lamellar and spherical domains of the same component, i.e., the lamella–sphere (LS) phase. Two types of lamellar morphologies, regular (L) and sandwich-like (L′), are observed, and their transition is identified as first-order. The formation of L′ is a prior condition for the formation of LS because the disordered short A 2 -blocks sandwiched in the B domain in L′ aggregate into spheres as χ N increases, leading to the formation of LS. The separation of A 2 -blocks from A 1 -blocks in L′ or LS causes extra interfacial energy, which is compensated by the gain of configurational entropy. The tail B 2 -block is demonstrated to play a critical role in enlarging the gain of configurational entropy. In a word, the formation of L′ is driven by entropy, while the transition from L′ to LS is driven by enthalpy.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.011
GPT teacher head0.239
Teacher spread0.228 · 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 source (direct Gemma or distilled Codex), 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

Citations37
Published2017
Admission routes2
Has abstractyes

Explore more

Same venueACS Macro LettersSame topicBlock Copolymer Self-AssemblyFrench-language works237,207