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
Bibliographic record
Abstract
In this study, micro‐Raman spectroscopy technique was implemented to characterize an unirradiated homogeneous Gigondas (U0.76Pu0.24)O2+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 [(U0.76Pu0.24)O2]. 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 MO2+x phase and the mixture of MO2+x and M4O9 (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 MO2+x T2g band by about 1 to 2 cm−1 towards lower wavenumbers. Copyright © 2017 John Wiley & 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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".