Exploring the Limits of Self-Repair in Cobalt Oxide Films for Electrocatalytic Water Oxidation
Bibliographic record
Abstract
We analyze the stability of anodically electrodeposited cobalt hydroxide films during operation as electrocatalysts for water oxidation and show that the stability considerations of these films are a complex issue concerning multiple distinct phenomena. We combine the electrochemical analysis with the quantitative analysis of cobalt content using X-ray fluorescence spectroscopy, transient behavior analysis using in operando XANES electrochemical analysis, and structural analysis using cryogenic X-ray absorption spectroscopy to show that three distinct behavioral regimes exist. Each behavioral regime suffers from a degree of corrosion, but both self-healing and self-repair mechanisms are capable of partially stabilizing the cobalt content within the catalyst film. However, even if the absolute cobalt content of the film is fully stabilized, the catalytic behavior of the film degrades over time. This behavior is attributed to observed structural evolution of the material, where mid- and long-range structural order increases during operation. The increased structural order appears independent of whether self-healing or self-repair mechanisms are activated and results in fundamental changes in the catalytic behavior, observable as decreased turnover frequency and increased Tafel slopes. These results reveal that the cobalt content or electrocatalytic performance of the catalyst films can be stabilized by controlling the applied voltage or solution composition, but simultaneous stabilization of both is not currently possible.
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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 | 0.000 | 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 | 0.001 |
| 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".