Atomic Partitioning of Ruthenium in Ni-Based Superalloys
Bibliographic record
Abstract
The elemental partitioning characteristics of Ru additions within the microstructure of high refractory content Ni-base single crystal superalloys have been investigated using atom probe tomography (APT). Although detailed microanalysis revealed some dissolution of Ru within the ordered intermetallic precipitates, Ru was observed to preferentially partition to the disordered matrix. The partitioning characteristics of two nominally similar alloys with and without Ru were studied as part of this investigation. Analyses indicate that no significant changes in the partitioning characteristics of the constituent elements could be attributed to the presence of Ru for this particular set of alloys. The preferential site occupancy of Ru within the L1 2 lattice was also statistically quantified using ALCHEMI (atomic site location by channelling enhanced microanalysis). Interestingly, Ru exhibited a tendency to substitute for Al and occupy the corner sites in the structure.
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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) | 0.000 | 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".