Determination of Local Corrosion Kinetics on Hyper-Stoichiometric UO[sub 2+x] by Scanning Electrochemical Microscopy
Bibliographic record
Abstract
A method has been developed to determine cathodic reaction rates and the corrosion kinetics at individual substrate grains on the micrometer scale using scanning electrochemical microscopy measurements. By fitting experimental probe approach curves to numerically simulated curves, "standard" rate constants for the cathodic reduction reaction on the grains are determined. Because the cathodic reduction is coupled to the anodic behavior of the at the corrosion potential, these constants can be used to determine the corrosion kinetics of the substrate. The results quantitatively demonstrate that corrosion rate constants vary over a broad range , and that this range is determined by the degree of nonstoichiometry of the grains and the diversity of structures on the surface. Our results suggest that corrosion will be enhanced at nonstoichiometric sites, probably located at grain boundaries in the spent nuclear fuel, leading to higher rates for the release of radionuclides from these locations.
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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".