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Record W1992970992 · doi:10.1063/1.2174096

Photoluminescent silicon nanocrystals synthesized by reactive laser ablation

2006· article· en· W1992970992 on OpenAlexaff
Daria Riabinina, Christophe Durand, Mohamed Chaker, Federico Rosei

Bibliographic record

VenueApplied Physics Letters · 2006
Typearticle
Languageen
FieldMaterials Science
TopicSilicon Nanostructures and Photoluminescence
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsPhotoluminescenceNanocrystalMaterials scienceLaser ablationAnnealing (glass)OxygenSiliconAnalytical Chemistry (journal)LaserNanoparticleOptoelectronicsNanotechnologyOpticsChemistryComposite materialOrganic chemistry

Abstract

fetched live from OpenAlex

We report the synthesis of Si nanocrystals embedded in a SiO2 matrix using reactive laser ablation in oxygen atmosphere followed by annealing. We observe a strong photoluminescence signal, which is related to the oxygen background pressure used for synthesis. The average nanoparticle size, obtained independently by fitting photoluminescence spectra and from x-ray diffraction patterns, decreases from 16to2nm with increasing oxygen pressure from 0.01to1.1mTorr. The maximum photoluminescence intensity is observed at 0.8mTorr, which corresponds to a crystal size of 2.2±0.4nm. We find that the concentration of nonoxidized Si, which is controlled by the oxygen pressure, determines the final nanocrystal size.

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 categoriesMeta-epidemiology (narrow)
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 score0.020
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.005
GPT teacher head0.196
Teacher spread0.191 · 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.

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

Citations51
Published2006
Admission routes1
Has abstractyes

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