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Record W6922206282 · doi:10.1021/la2035505.s001

Nearly Monodisperse Silica\nMicroparticles Form in\nSilicone (Pre)elastomer Mixtures

2016· article· en· W6922206282 on OpenAlexaff

Bibliographic record

VenueFigshare · 2016
Typearticle
Languageen
FieldMaterials Science
TopicPolymer Nanocomposites and Properties
Canadian institutionsMcMaster University
Fundersnot available
KeywordsDispersitySiliconeRelative humidityElastomerParticle (ecology)OligomerCatalysisPolydimethylsiloxane

Abstract

fetched live from OpenAlex

The formation of silica from a tetraalkoxysilane in a\nsol–gel\nprocess usually requires a highly polar, typically aqueous, medium\nthat aids in the hydrolysis of the silane and leads to electrostatic\nstabilization of the growing silica particles. Formation of such silica\nparticles in a hydrophobic medium is much more challenging. We report\nthe formation of silica microspheres within silicone oils (hydroxy-terminated\npoly­(dimethylsiloxane), HO-PDMS) during elastomer cure using atmospheric\nhumidity in a one-pot and one-step synthesis. Using tetraethyl orthosilicate\n(TEOS) as both cross-linker and silica precursor, and aminopropyl-terminated\ndimethylsiloxane oligomer (<b>AT-PDMS</b>) as a catalytic surfactant,\nsilica particles of low polydispersity formed near or at the air interface\nof the elastomer: the presence of a hydrophilic polymer, poly­(ethylene\nglycol) (PEG), had an indirect effect on the particle formation, as\nit assisted with water transmission into the system, which resulted\nin particle formation over a wider range of parameters and facilitated\nsilicone elastomer cure further away from the air interface. Depending\non the relative humidity during cure, the sizes of particles presenting\nat the air interface varied from ∼6–7 μm under\nambient conditions (20–30%RH) to ∼7–9 μm\nat high relative humidity (90% RH). The origin of the controlled particle\nsynthesis is ascribed to the relative solubility of the catalyst and\nthe efficiency of water permeation through the silicone matrix. <b>AT-PDMS</b> preferentially migrates to the air interface, as shown\nby ninhydrin staining, where it both catalyzes alkoxysilane hydrolysis\nand condensation, and stabilizes the growing silica particles prior\nto aggregation. Since reactions in the presence of this catalyst are\nslow, TEOS can migrate from within the pre-elastomer body to the interface\nfaster than water can penetrate the silicone, such that the main locus\nof hydrolysis/condensation leading both to silica formation and elastomer\ncross-linking is at the air interface.

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 categoriesInsufficient 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 score0.090
Threshold uncertainty score0.992

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)0.0990.009

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 head0.231
Teacher spread0.213 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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