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Record W2080116615 · doi:10.1364/ome.5.000858

Localized nanoclusters formation in PDMS upon irradiation with femtosecond laser

2015· article· en· W2080116615 on OpenAlexafffund
A.M. Alshehri, K. L. N. Deepak, Daniela T. Marquez, Serge Desgreniers, V. R. Bhardwaj

Bibliographic record

VenueOptical Materials Express · 2015
Typearticle
Languageen
FieldMaterials Science
TopicDiamond and Carbon-based Materials Research
Canadian institutionsUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMaterials scienceFemtosecondFluenceNanoclustersLaserPhotoluminescenceIrradiationOptoelectronicsAbsorption (acoustics)Raman spectroscopySiliconOpticsExcitationPhotoexcitationWavelengthNanotechnology

Abstract

fetched live from OpenAlex

We demonstrate formation of localized carbonaceous and siliconaceous clusters, confined to the modified region on a micron scale, when PDMS (polydimethylsiloxane) is irradiated by intense femtosecond pulses. Micro-Raman studies also suggest formation of quasi-crystalline silicon nano-clusters whose size varies with the incident laser fluence. The modified region produces broad photoluminescence whose intensity increases with laser fluence. We observed red-edge excitation effect in PDMS wherein the fluorescence from the laser modified region shifts to longer wavelengths as the excitation wavelength is increased to the red edge of the absorption band. Excitation spectra reveal four distinct absorption bands that contribute to the emission from the laser-modified region, two each ascribed to carbonaceous and siliconaceous clusters.

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 score0.004

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 head0.021
GPT teacher head0.258
Teacher spread0.237 · 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

Citations25
Published2015
Admission routes2
Has abstractyes

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