Hierarchical Architecture of Well‐Aligned Nanotubes Supported Bimetallic Catalysis for Efficient Oxygen Redox
Bibliographic record
Abstract
Abstract Rational design of efficient non‐precious materials for oxygen redox electrocatalysis is currently a critical obstacle for rechargeable zinc‐air batteries. Herein, this work presents a strategy to modulate the activity and mass transfer performance for advanced bifunctional electrocatalysts. This is achieved via a prior vacuum heat treatment‐assisted pyrolysis approach, obtaining atomically disperse Fe/Co sites and alloy nanoparticle composites rooted in the unique well‐aligned nanotubes hierarchical architecture. The design of multiple metal active species and hierarchically porous structure facilitates the bifunctional activity and accessibility of the active sites, respectively, which affords the catalyst enhanced performance in rechargeable zinc‐air batteries, outperforming the commercial Pt/C‐Ir/C benchmarks. This work provides a new avenue to improve activity and accessibility together with single atomic catalysts as advanced bifunctional air cathodes for efficient oxygen redox electrocatalysis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.004 | 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".