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Record W2002344598 · doi:10.1021/ma0510082

Chain Mixing and Segregation in B−C and C−D Diblock Copolymer Micelles

2005· article· en· W2002344598 on OpenAlex

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.

Bibliographic record

VenueMacromolecules · 2005
Typearticle
Languageen
FieldChemistry
TopicAdvanced Polymer Synthesis and Characterization
Canadian institutionsQueen's University
Fundersnot available
KeywordsMicelleCopolymerSolventMixing (physics)ChemistryChemical engineeringPolymer chemistryMaterials scienceOrganic chemistryAqueous solutionPolymerPhysics

Abstract

fetched live from OpenAlex

In a block-selective solvent for the B and D blocks of two diblock copolymers B−C and C−D, both diblocks should form micelles. Normally chains of the different diblocks do not mix significantly or comicellize for repulsion between the B and D coronal chains. This paper describes the tagging of the C blocks by adenine (A) and thymine (T), a H-bonding nucleic acid pair, to enhance mixing of the different diblock chains in a micelle. This enhancement effect has been observed in the premixed micelles prepared by first mixing the two diblocks in a solvent good for all of the three blocks and then adding a block-selective solvent for B and D. The A and T tagging has been shown also to enhance mixing of chains of different diblocks among the premade or the initially pure B−C and C−D micelles. While the A and T tagging helped give mixed micelles or micelles consisting of chains of both diblocks, the intrinsic repulsion between the B and D chains made them segregate into interesting patterns, including being two-faced and flowerlike in the coronas of the mixed premade micelles. Mixed micelles with surface-segregated chains may have intriguing applications.

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)0.000
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 score0.130
Threshold uncertainty score0.443

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)0.0000.000

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 head0.213
Teacher spread0.207 · 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