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Record W3167502948 · doi:10.11159/tann21.124

Deposition of Silver Nanoparticles on Silicone hydrogels by UsingLaser-Assisted Process

2021· article· en· W3167502948 on OpenAlexafffund
Vishnuvardhana Wuppaladhodi, Jin Zhang

Bibliographic record

VenueProceedings of the International Conference of Theoretical and Applied Nanoscience and Nanotechnology · 2021
Typearticle
Languageen
FieldEngineering
TopicLaser-Ablation Synthesis of Nanoparticles
Canadian institutionsWestern University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsNanoparticleMaterials scienceDeposition (geology)SiliconeProcess (computing)Silver nanoparticleSelf-healing hydrogelsNanotechnologyChemical engineeringComposite materialComputer sciencePolymer chemistryEngineering

Abstract

fetched live from OpenAlex

Silicone hydrogels have been extensively used in biomedical applications. However, protein adsorption and bacterial contamination are the major drawbacks of silicone hydrogel due to their hydrophobic property. Matrix assisted pulsed laser evaporation (MAPLE) has shown the capability for depositing soft marerials like organic and biomolecules. In this paper, we use MAPLE processes to deposit silver nanoparticles (Ag NPs) modified with polyvinylpyrrolidone (PVP) on silicone. The average particle size of Ag nanoparticles deposited by MAPLE was estimated at 153 nm. The mechanical properties of the nanocomposite coated silicone hydrogel were investigated and the value of Young's modulus was found to be 0.62 MPa. Moreover the protein adsorption on the nanocomposite coated silicone hydrogel formed by two step was found to be 14.109 g/cm 2 .

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 score0.239
Threshold uncertainty score0.413

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 studies0.0000.001
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 head0.218
Teacher spread0.207 · 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

Citations0
Published2021
Admission routes2
Has abstractyes

Explore more

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