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Record W2329731027 · doi:10.1021/nn101318e

Nanostrand Formation of Block Copolymers at the Air/Water Interface

2010· article· en· W2329731027 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

VenueACS Nano · 2010
Typearticle
Languageen
FieldMaterials Science
TopicBlock Copolymer Self-Assembly
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsCopolymerMaterials sciencePolystyreneMonolayerPolymer chemistryChemical engineeringSolventBreakupMorphology (biology)NanotechnologyChemistryPolymerComposite materialOrganic chemistry

Abstract

fetched live from OpenAlex

Langmuir-Blodgett monolayers consisting of a network of nanostrands have occasionally been reported in the literature, but are often coexistent with other morphologies, which is not useful for potential applications. With the use of PS-P4VP/PDP, a polystyrene-poly(4-vinyl pyridine) diblock copolymer of 12 mol % VP content mixed with 3-pentadecylphenol, it is shown that the disordered nanostrand network morphology can be obtained reproducibly and uniformly over large surface areas by spreading chloroform solutions of relatively high copolymer concentration. Use of a more slowly evaporating spreading solvent, 1,1,2,2-tetrachloroethane, and a low subphase temperature, 8-9 °C, results in much more densely aligned nanostrands. Poorly spreading solvents such as nitrobenzene produce the well-known fingerprint pattern often observed in spin- or dip-coated thin films of block copolymers. A mechanism for nanostrand network formation is proposed that involves the momentary formation of a fingerprint morphology in spreading drops followed by its breakup at the level of the mobile P4VP/PDP stripes as spreading continues, leaving P4VP-anchored PS nanostrands floating on the water surface.

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 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 score0.003
Threshold uncertainty score1.000

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)0.0010.001

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 head0.006
GPT teacher head0.227
Teacher spread0.221 · 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