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Record W1989367453 · doi:10.1080/17458080500469310

Light-emitting silicon-rich nitride systems and photonic structures

2006· article· en· W1989367453 on OpenAlexaff
Luca Dal Negro, J.H. Yi, Marianne Hiltunen, Jürgen Michel, Lionel C. Kimerling, Sébastien Hamel, Andrew Williamson, Giulia Galli, Tsung-Wen Chang, Vlad Sukhovatkin, Edward H. Sargent

Bibliographic record

VenueJournal of Experimental Nanoscience · 2006
Typearticle
Languageen
FieldMaterials Science
TopicSilicon Nanostructures and Photoluminescence
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMaterials scienceSilicon nitrideNitridePhotonicsOptoelectronicsSiliconEngineering physicsNanotechnologyEngineering

Abstract

fetched live from OpenAlex

In this paper we report recent results on the optoelectronic properties of silicon-rich nitride (SRN), a novel material for microphotonics applications compatible with silicon technology. We have investigated optical emission, energy transfer phenomena to erbium ions and PbS colloidal quantum dots in SRN films and grown active photonic SRN structures. The optical properties of the films were studied by micro-Raman and photoluminescence spectroscopy and, as confirmed by transmission electron microscopy analysis, indicate the presence of small (1–2 nm) Si clusters characterized by efficient (7% quantum efficiency at room temperature), broad-band and near-infrared emission with very large absorption/emission Stokes shift. Time and temperature resolved photoluminescence measurements demonstrate nanosecond-fast, wavelength-dependent recombination dynamics with negligible light emission thermal quenching from 4 to 330 K. First-principles simulations of 1 nm size crystalline and amorphous silicon dots show that nitrogen atoms bonded to the surface of nanometre silicon clusters play a crucial role in the emission mechanism of SRN films. In addition, we show that SRN is a suitable material for the fabrication of light-emitting complex photonic crystals and novel waveguide structures based on resonant transmission of localized light states in aperiodic dielectrics. The versatility of light-emitting SRN systems can provide alternative routes towards the fabrication of optically active CMOS devices.

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 score0.011
Threshold uncertainty score0.678

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 science0.0010.000
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 head0.009
GPT teacher head0.249
Teacher spread0.240 · 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

Citations11
Published2006
Admission routes1
Has abstractyes

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