N/O dual coordination of cobalt single atom for fast kinetics sodium‐sulfur batteries
Bibliographic record
Abstract
Abstract Room‐temperature sodium‐sulfur batteries are promising grid‐scale energy storage systems owing to their high energy density and low cost. However, their application is limited by the dissolution of long‐chain sodium polysulfides and slow redox kinetics. To address these issues, a cobalt single‐atom catalyst with N/O dual coordination was derived from a metal‐organic framework precursor (denoted as Co–N 2 O 2 /MOFc) for sulfur storage. Theoretical analysis demonstrates that, compared with the Co–N 4 structure, the introduction of oxygen atoms can further tune the d‐electron density of Co atoms via the coordinative effect, which enhances d‐p hybridization after Na 2 S x adsorption on Co–N 2 O 2 /MOFc. This leads to higher adsorption energy for Na 2 S x , lower Gibbs free energy for the rate‐limiting process and a decreased Na 2 S decomposition energy barrier, thereby promoting the polysulfide conversion reaction kinetics. When used as a sulfur host, the Co–N 2 O 2 /MOFc/S cathode exhibits excellent performance with a capacity of 590 mAh·g −1 (983 mAh·g −1 normalized by the sulfur mass) after 100 cycles at 0.1 A·g −1 and an excellent rate capability of 350 mAh·g −1 at 10 A·g −1 .
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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".