The Effect of Cation Complexation on the Predicted “B” Value in Galvele's Pit Model
Bibliographic record
Abstract
A reaction-transport model in a one-dimensional pit geometry is constructed to study the effect of both cation complexation and concentration-dependent diffusivity on the IR potential drop at steady state and with an anodic limiting current density. When there is no cation complexation, the B value from Galvele's pitting potential equation remains at 59 mV, even when the ionic diffusivities are functions of chloride concentration. However, the B value is found to depend on the anionic charge and the formation of cation complexes. When doubly charged anions are assumed, the B value decreases to 30 mV as predicted from both numerical and analytical results. For the pit dissolution of Fe-17Cr alloy in chloride solution, the B value increases up to 100 mV, in agreement with experiments, assuming dissolved chromium can make cationic chloro-complexes. Such results can be rationalized via the distribution of potential and ionic fluxes at the pit mouth which not only maintain the critical chemistry for pit stability but also sustain the complexation reaction inside the pit.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".