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Record W2581564692 · doi:10.1002/jrs.5092

Raman microspectroscopic studies of unirradiated homogeneous (U<sub>0.76</sub>Pu<sub>0.24</sub>)O<sub>2+x</sub>: the effects of Pu content, non‐stoichiometry, self‐radiation damage and secondary phases

2017· article· en· W2581564692 on OpenAlexfundno aff
Zeynep Talip, S. Peuget, Magali Magnin, Lydie Bérardo, Christophe Valot, Romain Vauchy, Christophe Jégou

Bibliographic record

VenueJournal of Raman Spectroscopy · 2017
Typearticle
Languageen
FieldMaterials Science
TopicNuclear Materials and Properties
Canadian institutionsnot available
FundersÉlectricité de FranceCentre for Energy Advancement through Technological Innovation
KeywordsRaman spectroscopyStoichiometryAnalytical Chemistry (journal)MicroanalysisChemistryHomogeneousRadiation damageElectron probe microanalysisRadiolysisIrradiationElectron microprobeMineralogyPhysical chemistryAqueous solutionOptics

Abstract

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In this study, micro‐Raman spectroscopy technique was implemented to characterize an unirradiated homogeneous Gigondas (U 0.76 Pu 0.24 )O 2+x sample, which had been stored for 30 years at room temperature under air. The impacts of Pu content, deviation from stoichiometry, self‐radiation damage and formation of secondary phases were assessed by comparing the Raman spectra of the aged Gigondas with an annealed sample [(U 0.76 Pu 0.24 )O 2 ]. The Pu content of the sample was measured by electron probe microanalysis technique, while the stoichiometry of the annealed Gigondas sample was determined by the results of electron probe microanalysis technique and X‐ray diffraction. Two methods were proposed to explain the Raman spectrum of the aged Gigondas sample. They considered the presence of MO 2+x phase and the mixture of MO 2+x and M 4 O 9 (M: U and Pu) phases respectively. Formation of the secondary phases, which were detected on the surface of the aged Gigondas sample, could be mostly due to alpha radiolysis. It was suggested that self‐radiation damage up to about 0.6 dpa leads to a shift of MO 2+x T 2g band by about 1 to 2 cm −1 towards lower wavenumbers. Copyright © 2017 John Wiley &amp; Sons, Ltd.

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)0.001
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 score0.034
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.017
GPT teacher head0.263
Teacher spread0.245 · 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

Citations21
Published2017
Admission routes1
Has abstractyes

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