Novel Concepts for Damage-Resistant Alloys in Next Generation Nuclear Power Systems Phase II Annual Report
Bibliographic record
Abstract
The discovery of a damage resistant alloy based on Hf solute additions is the highlight of the Phase II research. The damage resistance is supported by characterization of damage microstructures, measurement of radiation-induced grain boundary compositions and measurements of cracking in irradiated 316SS alloys with oversize solute additions. The addition of Hf reduced the impact of radiation for two processed conditions, a standard condition and a modified (optimized) condition. Pt additions reduced the impact of radiation on grain boundary segregation but did not reduce the impact on damage development or cracking. Because cracking susceptibility is associated with several material characteristics, separate effect experiments exploring strength effects using nonirradiated SSs were conducted. These crack growth tests suggest that irradiation strength by itself can promote environmental cracking. The novel concept of using oversized solutes to promote catalyzed defect recombination is a major thrust of this Nuclear Energy Research Initiative. The successful demonstration of damage resistance in the modified Hf-doped alloy demonstrates promise in the concept for developing damage resistant alloys for future generation nuclear reactors. Differences between irradiation responses for Hf-doped and Pt-doped alloys suggest that the influence of the oversized elements depends on chemical reactivity in addition to solute size. Elimination of void formation to a dose of 50 dpa is a significant improvement in material performance. Strength effects on environmental cracking susceptibility were elucidated using cold-work variation in nonirradiated stainless steels. These results indicate that suppression of RIS alone will not assure that an alloy will be resistant to cracking.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".