Transient Potential Induced Anodic Dissolution of 316L Stainless Steel in Sulfuric Acid Solution
Bibliographic record
Abstract
Transient potentials, originating from the dynamic loading during the operation of proton exchange membrane fuel cells (PEMFCs), could induce severe corrosion of metallic bipolar plates under the aggressive working conditions of PEMFCs. In this study, square wave potential pulses, with the upper potential limit of 0.7 V vs. Ag/AgCl and the pulse potential limits from 0.6 to 0.3 V, are applied to 316L stainless steel (316L SS) in 5 mM H 2 SO 4 + 2 ppm NaF at 70°C to simulate the potential variations. Results show that transient potentials enhance the anodic dissolution of 316L SS. A more negative pulse potential generates a much higher frequency of passive film breakdown events than that generated by a more positive pulse potential during the cyclic pulse tests. Analysis of the electronic properties of the passive films suggests that the disorder degree of the passive film formed at different pulse potentials is strongly associated with these breakdown events; a protective passive film with less localized states is beneficial to mitigate the dissolution induced by the transient potentials. The development of bipolar plates with less defective surface structure and assessment of its performance under transient potentials are necessary for improving PEMFC durability.
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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".