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Record W2385639676

Study of Ag/PEO-like Nano-composite Functional Film by Magnetron Sputtering

2008· article· en· W2385639676 on OpenAlexaff
Qiang Chen

Bibliographic record

VenuePackaging Engineering · 2008
Typearticle
Languageen
FieldMaterials Science
TopicMaterial Properties and Applications
Canadian institutionsL'Alliance Boviteq
Fundersnot available
KeywordsMaterials scienceNanocompositeFourier transform infrared spectroscopyPolyethylene glycolSputteringSputter depositionChemical engineeringComposite numberMonomerAnalytical Chemistry (journal)Composite materialPolymerNanotechnologyThin filmOrganic chemistryChemistry
DOInot available

Abstract

fetched live from OpenAlex

Polymerization polyethylene oxide(PEO)-like and Ag nanocomposite was prepared by means of magnetron sputtering Ag while togetherly feeding with glycol dimethyl ethers vapor as monomer.The nanocomposite were characterized by using UV-visible spectroscopy,Fourier transform infrared(FTIR) spectroscopy,x-ray diffraction(XRD),and atomic force microscopy(AFM) for crystal status,surface morphological,structural and chemical properties.The influence of the process conditions on the structure and compositions of the film was studied.It was found that the macro parameters of plasma,such as working pressure,Ar to monomer ratio,and sputtering power,have greater influence on the structure and compositions of the film;The particles of silver distributing uniformly in the body of nanocomposite is in atomic status and grown preferentially in facet(111),which is benefit to the antibacterial application.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.014
GPT teacher head0.196
Teacher spread0.181 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2008
Admission routes1
Has abstractyes

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