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Record W2323058033 · doi:10.1149/1.3211180

Structure and Luminescence of Rare Earth-doped Silicon Oxides Studied Through XANES and XEOL

2009· article· en· W2323058033 on OpenAlexafffund
Tyler Roschuk, Patrick Robert James Wilson, Jing Li, Kayne Dunn, Jacek Wójcik, Iain F. Crowe, R. Gwilliam, Matthew P. Halsall, Andrew P. Knights, Peter Mascher

Bibliographic record

VenueECS Transactions · 2009
Typearticle
Languageen
FieldMaterials Science
TopicGa2O3 and related materials
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of CanadaOntario Centres of ExcellenceCanadian Light Source
KeywordsLuminescenceXANESMaterials scienceDopantDopingExcited stateAbsorption (acoustics)SiliconOptoelectronicsExcitationSpectroscopyIonPhotoluminescenceAtomic physicsChemistryPhysics

Abstract

fetched live from OpenAlex

Luminescent Si-based materials are of significant interest due to their potential applications in the fields of photonics and solid state lighting. The use of rare earth dopants incorporated into Si-based materials allows the attainment of specific wavelengths of emission for color tunability. Details of the RE luminescence and even the ability to obtain luminescence are strongly dependent on the composition and structure of the Si-based host material. Through the use of X-ray absorption spectroscopy details of the atomic bonding environment of the films has been obtained. X-ray excited optical luminescence, measured after excitation at the absorption edges of the constituent atoms within these materials, reveals that excitation of the rare earth ions occurs primarily at energies related to oxygen states.

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 score0.009
Threshold uncertainty score0.421

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 head0.012
GPT teacher head0.239
Teacher spread0.227 · 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

Citations0
Published2009
Admission routes2
Has abstractyes

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