Understanding the High Scan Rate PDP Curves Obtained By Seccm
Bibliographic record
Abstract
Scanning electrochemical cell microscopy (SECCM) is progressively employed for investigating corrosion behaviors at localized sites on metal surfaces. Normally, hundreds of potentiodynamic polarization (PDP) measurements are conducted on the sample using a high potential scan rate to reduce the experimental duration. However, polarization curves obtained under such conditions would yield inaccurate Tafel kinetics. In this research, we performed PDP measurements on Al sample at various scan rates using SECCM and obtained reproducible results. The experimental polarization curves were successfully simulated by a high field model that accounted for the cathodic contribution from oxygen reduction reaction and the anodic contribution from Al oxide film growth. By utilizing this model, we were able to extract the true corrosion kinetic properties from the high scan rate polarization curves, which has not been reported previously. This study represents a significant contribution towards enhancing SECCM-based micro-polarization as a robust quantitative technique for corrosion study.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".