Regulating Reconstruction Activity of Cobalt Electrode for Optimized Water Oxidation
Bibliographic record
Abstract
Elucidating and regulating dynamic catalyst reconstruction are crucial for various electrocatalytic reactions. Here, we applied model fittings with operando characterizations to quantify the reconstruction activity (i.e., ability to reconstruct) of layered Co(OH) 2 toward the oxygen evolution reaction (OER). By modulating the intercalation species into Co(OH) 2, we governed distinct reconstruction thermodynamics and kinetics, with diverse mass changes and heterogeneous Co oxidation during the OER. We further established a volcano-type relationship between reconstruction activity and OER activity and identified that a moderate reconstruction activity, achieved by dual-anion intercalation, favored a high OER activity. This might result from its proper basal spacing that regulated the coupled ion (de)intercalation–electron transfer for reconstruction, leading to optimal Co for binding OER intermediates. The optimally reconstructed Co(OH) 1.26 Cl 0.08 (CO 3 ) 0.33 ·0.84 H 2 O delivered 1 A cm –2 at 1.78 V for anion-exchange membrane water electrolysis. This work laid the foundation for modulating reconstruction activities to benefit electrocatalysis.
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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) | 0.000 | 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".