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Record W2008384858 · doi:10.1002/mren.201100026

Novel Polymeric Surfadditives Synthesized via Atom Transfer Radical Polymerization and Their Surface Migration Properties

2011· article· en· W2008384858 on OpenAlexaff
Hongyan Gu, Junwei Zhang, Santiago Faucher, Shiping Zhu

Bibliographic record

VenueMacromolecular Reaction Engineering · 2011
Typearticle
Languageen
FieldMaterials Science
TopicSurface Modification and Superhydrophobicity
Canadian institutionsXerox (Canada)McMaster University
Fundersnot available
KeywordsTriethoxysilaneAtom-transfer radical-polymerizationSurface modificationMaterials scienceCopolymerAcrylateSilanePolymer chemistryCastingChemical engineeringMolding (decorative)PolymerComposite material

Abstract

fetched live from OpenAlex

Abstract Multi‐functional tri‐block copolymers having fluorinated and triethoxysilane side chains and polyacrylate backbone have been synthesized and used as surface‐active additives (termed as “surfadditive”) in molding and casting acrylic parts. The fluorinated block facilitates migration of surfadditive molecules to the part surface and the acrylate block provides rooting to the part matrix, while the silane block offers functionality to the part surface. This uniquely designed surfadditive allows surface functionalization and modification without post‐processing steps. This work reports the design and synthesis of surfadditives and demonstrates their surface enrichment in molding and cell casting of polymethylmethacrylate (PMMA) samples. The effects of processing temperature, surfadditive structure and concentration, as well as mold surface property on the surface modification are systematically investigated. magnified image

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 score0.333
Threshold uncertainty score0.827

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 head0.018
GPT teacher head0.178
Teacher spread0.160 · 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

Citations2
Published2011
Admission routes1
Has abstractyes

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