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Record W2047155948 · doi:10.1063/1.3130103

Role of vacancy-type defects in the formation of silicon nanocrystals

2009· article· en· W2047155948 on OpenAlexaff
C. R. Mokry, P. J. Simpson, Andrew P. Knights

Bibliographic record

VenueJournal of Applied Physics · 2009
Typearticle
Languageen
FieldMaterials Science
TopicSilicon Nanostructures and Photoluminescence
Canadian institutionsMcMaster UniversityWestern University
Fundersnot available
KeywordsAnnealing (glass)Vacancy defectIon implantationMaterials sciencePhotoluminescenceOstwald ripeningSiliconTransmission electron microscopyPositron annihilation spectroscopyNanocrystalIonAnnihilationCrystallographic defectAnalytical Chemistry (journal)Chemical physicsCrystallographyMolecular physicsNanotechnologyOptoelectronicsElectronChemistryPositronPositron annihilationMetallurgyPhysicsNuclear physics

Abstract

fetched live from OpenAlex

The location and size distribution of silicon nanocrystals (Si-nc) formed in SiO2 by Si ion implantation and annealing were investigated. Transmission electron microscopy images revealed that the location and size distribution of the Si-nc are strongly correlated with the location of the vacancies produced in the SiO2 network by the implantation, as simulated by stopping and range of ions in matter and measured by positron annihilation spectroscopy (PAS). Simultaneous consideration of PAS and photoluminescence measurements suggest that the diffusion necessary for Ostwald ripening of Si-nc depends on the concentration and location of vacancy-type defects, and when the majority of these defects have been removed by annealing, the growth of the Si-nc slows dramatically or stops entirely. We demonstrate the capability for modification and enhancement of emission from Si-nc through the controlled introduction of defects into the oxide prior to annealing.

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 score0.018
Threshold uncertainty score0.203

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 head0.008
GPT teacher head0.230
Teacher spread0.222 · 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

Citations16
Published2009
Admission routes1
Has abstractyes

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