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Record W2172249818 · doi:10.1116/1.3043465

Photoluminescence from Er-doped Si-rich Si oxides deposited by magnetron sputtering in Ar or Ar+H2 plasmas

2008· article· en· W2172249818 on OpenAlexafffund
C. L. Heng, Evgueni Chelomentsev, O. H. Y. Zalloum, J. Wójcik, Peter Mascher

Bibliographic record

VenueJournal of Vacuum Science & Technology A Vacuum Surfaces and Films · 2008
Typearticle
Languageen
FieldMaterials Science
TopicSilicon Nanostructures and Photoluminescence
Canadian institutionsMcMaster University
FundersMcMaster University
KeywordsPhotoluminescenceAnnealing (glass)Materials scienceSputter depositionSputteringAnalytical Chemistry (journal)DopingFourier transform infrared spectroscopyThin filmOptoelectronicsChemical engineeringNanotechnologyChemistryMetallurgyEnvironmental chemistry

Abstract

fetched live from OpenAlex

The authors have studied photoluminescence (PL) from Er-doped Si-rich Si oxide (SRSO) films deposited by magnetron sputtering of an Er+Si+SiO2 composite target in Ar or Ar+H2 ambients. When the samples were annealed in N2, for the film grown in an Ar ambient, the PL annealing behaviors reveal that the emissions from the film are defect-related and that the Er3+ PL at 1.54μm is possibly triggered by a defect-mediated energy transfer process; while for the films grown in an Ar+H2 ambient, the emissions from the SRSO matrix are suppressed and the Er PL intensities increase significantly but differently dependent on the Ar:H2 ratios during sputtering. After annealing the samples in an Ar+5%H2 (FG) ambient, however, almost no Er PL was observed from the film grown in the Ar ambient, while the Er PL intensities of the films grown in the Ar+H2 ambient increase further compared to those annealed in N2. Fourier transform infrared spectroscopy shows that the absorption of the samples after FG annealing is weaker than after annealing in N2. The PL properties have also been compared to those of a sample grown by plasma enhanced chemical vapor deposition. The roles of hydrogen during sputtering and postdeposition annealing are discussed.

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)0.001
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 score0.087
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0020.001
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 head0.011
GPT teacher head0.231
Teacher spread0.220 · 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

Citations5
Published2008
Admission routes2
Has abstractyes

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