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Record W3040806196 · doi:10.1063/5.0012515

High-temperature nitrogen annealing induced bonding states and photoluminescence changes in inductively coupled plasma torch synthesized silicon nanostructures

2020· article· en· W3040806196 on OpenAlexafffund
Sonia Freddi, Filippo Fabbri, Annalisa Cannizzaro, Marta Agati, Richard Dolbec, Giovanni Drera, Stefania Pagliara, L. Sangaletti, My Alı El Khakani, Simona Boninelli, P. Castrucci

Bibliographic record

VenueJournal of Applied Physics · 2020
Typearticle
Languageen
FieldMaterials Science
TopicSilicon Nanostructures and Photoluminescence
Canadian institutionsInstitut National de la Recherche ScientifiqueTekna Plasma Systems (Canada)
FundersNatural Sciences and Engineering Research Council of CanadaFonds de recherche du Québec – Nature et technologiesMinistero degli Affari Esteri e della Cooperazione Internazionale
KeywordsPhotoluminescenceMaterials scienceSiliconAnnealing (glass)Silicon oxideInductively coupled plasmaNitrideSilicon nitrideOptoelectronicsPlasmaAnalytical Chemistry (journal)NanotechnologyMetallurgyChemistryPhysics

Abstract

fetched live from OpenAlex

In this work, we investigate the optical properties of self-standing Si nanostructures (SiNS) as-grown, by an inductively coupled plasma torch process, and after their annealing under N2 flux at 1200 °C. We show that as-grown SiNS are embedded in a silicon oxide shell while part of the annealed SiNS transforms into silicon nitrides or oxynitrides. The analysis of the photoluminescence spectra and maps of both as-grown and annealed SiNS enabled us to confirm the occurrence of quantum confinement effects in the ultra-small SiNS and to highlight the role played by the silicon oxide, silicon nitrides, and silicon oxynitrides nanophases in the photoluminescence emission.

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 score0.002
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.014
GPT teacher head0.227
Teacher spread0.213 · 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

Citations4
Published2020
Admission routes2
Has abstractyes

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