Time-of-flight neutron diffraction studies of microstructural evolution during irradiation and subsequent deformation of Zr-2.5Nb using line profile analysis
Bibliographic record
Abstract
Zr-2.5Nb samples removed from a CANDU nuclear reactor are investigated using the high resolution Neutron Powder Diffractometer instrument at Los Alamos National Laboratory, to determine the microstructural changes induced by neutron irradiation.It is shown that Diffraction Line Profile Analysis (DLP A), performed here using the extended Convolutional Multiple Whole Profile (eCMWP) softw~e, combined with time-of-flight neutron diffraction is a valuable tool for the characterization of irradiated materials.The dislocation density is observed to increase from 6x10 14 to 24x10 14 m-2 after 7 years of service.It is shown that this increase is due to Burgers vector type dislocations created by the neutron irradiation.DLP A also reveals a fundamental change in the arrangement of the dislocation structure induced by the irradiation compared to the cold worked, pre-irradiated state.Tensile tests indicate the activation of new deformation mechanisms in irradiated Zr-2.5Nb, the microstructural background ofthis effect is being explored by DLPA.
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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".