Spectroelectrochemical Analysis of Oxygen Evolution by Nickel Hydroxide: Role of Oxygen Vacancies, Charge Transfer, and Silk Fibroin
Bibliographic record
Abstract
Abstract This study investigates the oxygen evolution reaction (OER) on nickel hydroxide (Ni(OH)₂) catalysts, focusing on the roles of oxygen vacancies (O v ), charge transfer, and silk fibroin. Spectroelectrochemical techniques, including in situ surface‐enhanced Raman (SERS) and UV–vis spectroscopy, revealed that O v formation and Ni‐to‐Au charge transfer facilitate the generation of high‐valence Ni and superoxide species. A Mars–van Krevelen mechanism is proposed to describe the participation of lattice oxygen. Silk fibroin is found to enhance catalytic activity by lowering the activation energy of key intermediates, as indicated by higher transfer coefficients and Tafel slope analysis. At +300 mV overpotential, fibroin‐modified samples exhibited intrinsic turnover frequencies (TOFs) of ≈0.7 s⁻¹, outperforming fibroin‐free counterparts (≈0.4 s⁻¹). These results highlight the synergy between structural defects and interfacial modifications in improving Ni(OH)₂‐based OER catalysts for sustainable energy applications.
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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) | 0.001 | 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".