Free‐Standing Tunnel‐Structured MnO<sub>2</sub> Nanorods‐Doped with Nickel and Cobalt Cations as Bifunctional Electrocatalysts for Zn–Air Batteries
Why this work is in the frame
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Bibliographic record
Abstract
Abstract The rational design of the electrocatalysts is paramount to alleviating the global energy and environment crisis. Despite a bright future of MnO 2 shown in energy storage and conversion, the intrinsic low electrical conductivity glooms its application in electrocatalytic reactions like oxygen reduction/evolution reactions (ORR/OER). The doping strategy is applied to equip the self‐supported MnO 2 with enhanced ORR/OER and zinc‐air battery performance. In this work, a class of free‐standing MnO 2 nanorods arrays on carbon paper‐doped with either cobalt or nickel cations are engineered through a simple hydrothermal method. The substitutional doping by Co or Ni that partly replaces the Mn ions in the [MnO 6 ] octahedra brings about the Jahn–Teller distortion that exhibits excellent catalytic performance for ORR and OER. Indeed, the ORR performance reveals that the doping resulted in more positive half‐wave potential (by >20 mV), higher limiting current densities, and an electron transfer number close to four. As for the OER, the doping not only decreases the overpotential at 10 mA cm −2 but also brings about an enhancement in the current density at 1.76 V six times greater than with the undoped MnO 2 catalyst. An optimal concentration of 0.25 in the molar ratio Co/Mn or Ni/Mn is discovered based on the ORR/OER bifunctionality. Homemade rechargeable Zn–air aqueous batteries assembled with doped MnO 2 deliver higher peak power density, higher specific capacity, lower charge voltage, lower charge/discharge voltage, and robust stability.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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 it