Enhanced Oxygen Evolution Reaction Performance of ZnO Nanorods on Activated Carbon Cloth
Bibliographic record
Abstract
The employment of an abundant and cost-effective electrocatalyst for water splitting gained significant attention, as there is a need for a substitute for precious metals in the production of affordable H 2 as a promising energy carrier. This study addresses the need for cost-effective, high-activity, and binder-free oxygen evolution reaction (OER) electrocatalysts by investigating ZnO nanorods (ZnO NRs) integrated with electrochemically activated carbon cloth (ECAT@CC). Various characterization techniques, including XRD, XPS, and FE-SEM, confirmed the formation of ZnO NRs on ECAT@CC during conventional hydrothermal synthesis in an aqueous solution containing (CH 3 COO) 2 Zn·2H 2 O and C 6 H 12 N 4 at 95 °C. The electrochemical performance was evaluated using linear sweep voltammetry, chronopotentiometry, and electrochemical impedance spectroscopy in alkaline conditions. The ZnO NRs/ECAT@CC annealed for 3 h at 450 °C exhibited superior OER activity, with an overpotential of 1.58 V vs RHE at a current density of 10 mA/cm 2, and improved charge transfer resistance of 65.89 Ω·cm 2, significantly lower than that of pristine and ECAT@CC samples. During the stability test, the robustness of the ZnO NRs/ECAT@CC-3h sample was demonstrated over the prolonged operation. This research highlights ZnO NRs/ECAT@CC-3h as a promising, binder-free, and self-supported OER electrocatalyst, which can contribute to more efficient and sustainable processes in electrochemical water splitting.
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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".