Reduced Passivity and Enhanced Pitting Around Crack Tip Measured Using Scanning Electrochemical Cell Microscopy
Bibliographic record
Abstract
Abstract Stainless steels, widely used in industrial applications, are often subjected to combined corrosive and mechanical stress conditions, leading to corrosion fatigue. Herein, it is investigated how stress‐induced deformation impacts the localized corrosion behavior of the CA6NM martensitic stainless steel using oil‐immersed scanning electrochemical cell microscopy (SECCM). Compact tension specimens are cyclically loaded to induce plasticity around a growing crack, and electrochemical properties are mapped with high spatial resolution. The electrochemical activity is progressively changed near the crack, with open circuit potential and corrosion potential shifting toward more active values as the distance to the crack decreases. Pitting is also more frequent closer to the crack, gradually declining further away, indicating a spatial dependence in localized corrosion behavior. These findings help understanding how mechanical stress modifies passivity and pitting susceptibility, contributing to a better understanding of corrosion‐fatigue mechanisms and materials design.
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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".