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Record W2491998284 · doi:10.1002/macp.201600212

Preparation of Porous Organogels Using Water Soluble Polymer Templates

2016· article· en· W2491998284 on OpenAlexafffund
Mohamad Kabbara, Teodora Gancheva, Olivier Gazil, Nick Virgilio

Bibliographic record

VenueMacromolecular Chemistry and Physics · 2016
Typearticle
Languageen
FieldMaterials Science
TopicSupramolecular Self-Assembly in Materials
Canadian institutionsPolytechnique Montréal
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPorosityMaterials sciencePolymerTemplateChemical engineeringInterconnectivityPolyvinyl alcoholPolymer chemistryMorphology (biology)CopolymerComposite materialNanotechnology

Abstract

fetched live from OpenAlex

This study presents a new method for the preparation of organogels embedded with interconnected macropores tunable in size from 180 to 700 μm. The gels are molded in porous polyvinyl alcohol (PVOH) polymer templates obtained from melt‐processed cocontinuous blends of PVOH and poly(ε‐caprolactone) (PCL). The blends are subsequently annealed under quiescent conditions to let their morphology coarsen, and are rendered porous by selectively extracting the PCL. After the injection in the PVOH molds and in situ gelling of a dilute solution of an organic liquid and a low molecular weight gelling agent, 12‐hydroxyoctadecanoic acid, the molds are extracted with water. This yields porous organogels with microstructural features corresponding relatively well to those of the original molds, as revealed by X‐ray microtomography. This method allows control over the gels' average pore size, pore interconnectivity, and volume fraction, and is compatible with a variety of organic liquids and low molecular weight gelators. 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 score0.006
Threshold uncertainty score0.542

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 head0.011
GPT teacher head0.258
Teacher spread0.247 · 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

Citations8
Published2016
Admission routes2
Has abstractyes

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