Corrosion Assessment of Nickel-based Alloys for SCWR Fuel Cladding Application
Bibliographic record
Abstract
Abstract Supercritical water-cooled reactor (SCWR) is an innovative Generation IV reactor and merits further research and development with the intent of being pursued for implementation in the next 30 years. The SCWR is a high temperature and high pressure water-cooled reactor in which supercritical water (SCW) is used as the primary coolant for a direct once-through cycle to achieve noticeable advantages. For optimum thermal efficiency, the Canadian SCWR concept requires a fuel core outlet temperature of 625 °C at 25 MPa with a predicted peak temperature as high as 800 °C. As a result, material selection for the fuel cladding is one of the most challenging aspects for the realization of the SCWR. Detailed materials assessments based on public data have carried out by Canadian research groups and several nickel-based alloys, such as UNS N06625, UNS R20033 and UNS N07214 alloys, are selected for the fuel cladding. However, significant knowledge gaps exist in determining whether the alloys can be used for the fuel cladding in the SCWR. This paper introduces our most recent laboratory results on corrosion and stress corrosion cracking (SCC) of the nickel-based alloys in SCW.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".