Grain refinement of arch-melted beryllium-6 wt% copper
Bibliographic record
Abstract
Beryllium doped with 6 weight% copper is the material of choice for fabrication of target capsules for the National Ignition Facility because of its combination of attractive neutronic, physical, and mechanical properties. The target capsules are very small (2 mm in diameter) and thin-walled (150 microns), and the material must be fine-grained and of low inclusion content. Arc-melted Be-Cu is being produced to eliminate the oxide content. Equal channel angular extrusion (ECAE) is being used to refine the as-cast grain structure. Be-Cu rods have been processed by ECAE at temperatures from 500 to 750 C in tooling with a 120{sup o} angle. Selected samples have been annealed for 1 hour at temperatures from 700 to 775 C. The ECAE processing creates a heavily deformed and finely subdivided structure, and the annealing can produce an equiaxed microstnrcture with a grain size of approximately 20 {micro}m.
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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) | 0.003 | 0.001 |
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".