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Record W1990999383 · doi:10.1088/1742-6596/59/1/041

Photoluminescent Si and Ge nanoparticles by reactive PLD

2007· article· en· W1990999383 on OpenAlexafffund
Daria Riabinina, Christophe Durand, Mohamed Chaker, Federico Rosei

Bibliographic record

VenueJournal of Physics Conference Series · 2007
Typearticle
Languageen
FieldMaterials Science
TopicSilicon Nanostructures and Photoluminescence
Canadian institutionsInstitut National de la Recherche Scientifique
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsPhotoluminescenceNanoparticleLaser ablationMaterials scienceOxygenTorrAnalytical Chemistry (journal)NanotechnologyChemical engineeringOptoelectronicsLaserChemistryOpticsEnvironmental chemistryOrganic chemistryPhysics

Abstract

fetched live from OpenAlex

A novel approach, based on reactive laser ablation in oxygen, is proposed to synthesize Si and Ge nanoparticles embedded in SiO2 and GeO2, respectively. We observe a significant photoluminescence (PL) that strongly depends on the oxygen pressure. The size of nanoparticles, estimated from PL spectra, decreases with increasing oxygen pressure. The maximum PL was observed at an oxygen pressure of 0.8 mTorr for Si and 10 mTorr for Ge, corresponding to a size of 2.2 nm and 1.9 nm, respectively. We discuss the similarities and the differences between the PL properties and formation mechanisms of the Si/SiO2 and Ge/GeO2 systems.

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 score0.005
Threshold uncertainty score0.539

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 communication0.0000.001
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 head0.012
GPT teacher head0.238
Teacher spread0.226 · 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

Citations1
Published2007
Admission routes2
Has abstractyes

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