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Record W1577633455 · doi:10.1002/9781118742655.ch5

<i>IN‐SITU</i>MICROWAVE‐ASSISTED FABRICATION OF POLYMERIC NANOCOMPOSITES

2013· other· en· W1577633455 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

VenueNanocomposites · 2013
Typeother
Languageen
FieldEngineering
TopicMicrofluidic and Capillary Electrophoresis Applications
Canadian institutionsConcordia University
Fundersnot available
KeywordsMaterials scienceNanocompositeColloidal goldMicrowaveNanoparticleAnnealing (glass)FabricationPolymerNanotechnologyIn situIrradiationChemical engineeringNanometreMicrowave irradiationComposite materialChemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Gold – poly(dimethylsiloxane) (Au–PDMS) nanocomposites are synthesized in the form of gels, foams, and films. In this chapter, the authors report their results on a novel in situ synthesis of Au–PDMS by using a microwave-induced reduction of gold ions. Microwave heating has been studied as a promising technique for nanoparticle synthesis. Microwave irradiation has been used for the preparation of gold and silver nanoparticles under various conditions. The authors investigate the microwave-induced reduction of gold ions onto a PDMS matrix and the usefulness of the nanocomposite for sensing application. During the interaction between PDMS and the solution, sub-nanometer- sized gold seeds are formed on the surface, which possibly initiate the formation of gold nanoparticles during the irradiation. The gold nanoparticles prepared by microwave irradiation are distributed in the polymer matrix, and to increase the density of nanoparticles on the surface, an annealing process is employed.

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 categoriesMeta-epidemiology (narrow), Insufficient 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: Other · Consensus signal: Other
Teacher disagreement score0.294
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.005
GPT teacher head0.200
Teacher spread0.195 · 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