Rational Design of Dodecahedral MnCo<sub>2</sub>O<sub>4.5</sub> Hollowed‐Out Nanocages as Efficient Bifunctional Electrocatalysts for Oxygen Reduction and Evolution
Bibliographic record
Abstract
Abstract Efficient bifunctional electrocatalysts are in demand to increase kinetics of oxygen reduction and evolution reactions (ORR and OER) for rechargeable zinc–air batteries. In this work, dodecahedral MnCo2O4.5 hollowed‐out nanocages are synthesized using a seed‐mediated coordination chemistry of metal–organic frameworks. The hollowed‐out MnCo2O4.5 nanocages used as bifunctional oxygen electrocatalysts exhibit high catalytic activity and excellent stability for both ORR and OER in alkaline media, which can be attributed to both the hierarchical porosity and stable hollowed‐out structure that not only facilitate fast charge transfer reaction but also prevent the agglomeration of MnCo2O4.5 nanoparticles. The dodecahedral hollowed‐out MnCo2O4.5 nanocages as the air electrode catalyst can deliver good stability in a rechargeable zinc–air battery. Scanning electron microscopy and transmission electron microscopy images, X‐ray diffraction and X‐ray photoelectron spectroscopy of the electrocatalyst were measured again after durability tests. There is no significant influence on the morphologies, compositions, and structures before and after durability tests.
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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) | 0.000 | 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 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".