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Tritium beta-luminescence in ZnO nanowires

2010· article· en· W2002077188 on OpenAlexafffund
B Liu, Fei Yan, Usha Philipose, Nazir P. Kherani, W.T. Shmayda, Harry E. Ruda, Kevin P. Chen

Bibliographic record

VenueJournal of Physics D Applied Physics · 2010
Typearticle
Languageen
FieldMaterials Science
TopicGa2O3 and related materials
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of CanadaNational Science Foundation
KeywordsLuminescenceTritiumScandiumNanowireTritium illuminationPhotoluminescenceQuenching (fluorescence)HydrogenMaterials scienceAnalytical Chemistry (journal)BETA (programming language)ChemistryNanotechnologyOptoelectronicsFluorescenceMetallurgyNuclear physicsOpticsPhysicsEnvironmental chemistry

Abstract

fetched live from OpenAlex

This paper reports on the observation of tritium-powered beta-luminescence (BL) in ZnO nanowires (NWs). The ZnO NWs, prepared using standard vapour–liquid–solid growth, were exposed to tritium betas emanating from a tritium gas source over a range of pressures and from a scandium tritide source. BL spectra were measured at room temperature, showing increasing signal strength with increasing tritium pressure and thus beta energy flux. Complementary photoluminescence studies with and without hydrogen impregnation indicate the quenching effect of hydrogen in ZnO NWs and thus reduced 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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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 head0.011
GPT teacher head0.236
Teacher spread0.225 · 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 source (direct Gemma or distilled Codex), 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

Citations3
Published2010
Admission routes2
Has abstractyes

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