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Record W2802039329 · doi:10.1039/c8sm00137e

Hierarchically organized honeycomb films through block copolymer directed self-assembly in “breath figure” templating and soft microwave-triggered annealing

2018· article· en· W2802039329 on OpenAlexaff
Nicolas Benoot, Pierre Marcasuzaa, Laurence Pessoni, Sirikorn Chasvised, Stéphanie Reynaud, Antoine Bousquet, Laurent Billon

Bibliographic record

VenueSoft Matter · 2018
Typearticle
Languageen
FieldMaterials Science
TopicBlock Copolymer Self-Assembly
Canadian institutionsCanadian Nautical Research Society
FundersCentre National de la Recherche ScientifiqueAgence Nationale de la Recherche
KeywordsCopolymerMaterials scienceAnnealing (glass)MicrowavePolymerNanotechnologySelf-assemblyComposite materialComputer scienceTelecommunications

Abstract

fetched live from OpenAlex

Hierarchically organized polymer films are produced with a high level of order from the combination of block copolymer nanophase segregation, "breath figure" methodology and microwave irradiation. A block copolymer based on poly(methyl methacrylate) and poly(n-butylacrylate) featuring cylindrical nanopatterns is involved in the "breath figure" process to create a microporous honeycomb structure. These films are submitted to microwave annealing to enhance the degree of ordering of the nano-segregation without the destruction of the honeycomb microstructure, which is not possible by classical thermal or solvent annealing. Ellipsometry, optical and atomic force microscopy are used to study three key parameters; the substrate nature, the film thickness and the microwave irradiation power. The silicon wafer is the substrate of choice to efficiently act as the heating transfer element and 60 seconds at 10 watts are enough to nicely order the 1 μm thick copolymer films. These conditions are eventually applied on hierarchically organized polymer films to obtain a hexagonal array of 100 nm deep holes within a matrix of perpendicularly aligned nano-cylinders.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.022
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.002

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 head0.009
GPT teacher head0.239
Teacher spread0.231 · 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; both teacher heads agree on what is shown here.

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

Citations6
Published2018
Admission routes1
Has abstractyes

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