In Situ Studies of Variant Selection During the α-β-α Phase Transformation in Zr-2.5Nb
Bibliographic record
Abstract
Abstract In situ phase transformation experiments have been carried out using neutron and synchrotron X-ray diffraction to monitor the texture evolution and establish the criteria for variant selection during the α→β→α phase transformation in Zr-2.5Nb. There is clear evidence of a strong variant selection occurring during the α→β transformation and a weaker variant selection during the β→α transformation. Further, comparing hot-worked specimens with those that have received additional cold-work revealed that cold-work introduced microstructural characteristics that inhibited the full development of the transformed texture seen in the hot-worked samples. A study of the effect of external biasing stresses during transformation was conducted. An external biasing stress was applied along the hoop axis during different components of the α→β→α transformation. An external stress during heating does not appear to significantly influence variant selection, at least for the stress magnitudes tested here, while an external stress during cooling did have some influence on the resultant texture.
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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) | 0.001 | 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".