Effects of heavy ion irradiation on Zr-2.5Nb pressure tube alloy. II. Orientation dependent dislocation loop propagation and elemental redistribution
Bibliographic record
Abstract
The irradiation induced microstructure of heavy ion irradiated Zr-2.5Nb alloy has been characterized by X-ray diffraction and transmission electron microscopy (TEM). Diffraction line profile analysis is used to analyze the X-ray diffraction data and anisotropic responses to irradiation in terms of peak broadening in axial direction (AD; sample surface normal aligned with axial direction) and transverse direction (TD; sample surface normal aligned with transverse direction) samples. More specifically, AD samples demonstrate a significantly higher peak broadening than TD for the same irradiation dose level. TEM characterization shows that heavy ion irradiation induces small type dislocation loops in the range of 2-10 nm in diameter. However, up to 0.2 dpa, the dislocation densities calculated from X-ray diffraction and TEM characterization both show comparable quantities for AD and TD samples. The considerable additional peak broadening of AD samples is attributed to an intergranular strain distribution. Chemi-STEM analysis shows that Fe is depleted from β-phase to α-β phase boundary and then into the α matrix, mainly due to ion sputtering during heavy ion irradiation.
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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) | 0.002 | 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".