Enhancing the Reduction Kinetics of LiSF<sub>6</sub> Batteries by Dispersed Cobalt Phthalocyanines on Porous Carbon
Bibliographic record
Abstract
Abstract Reducing SF 6 (as gas cathode) in Li batteries is a promising concept for the double benefit of mildly converting greenhouse SF 6 and providing a high theoretical energy density of 3922 Wh kg −1 . However, the reduction process is hampered by its sluggish kinetics. Here, cobalt phthalocyanine (CoPc) molecules immobilized on porous carbon matrix are, for the first time, introduced to the LiSF 6 chemistry to deliver an enhanced energy density. It is revealed that the high redox potential of Co(II)Pc/[Co(I)Pc] − (≈2.85 V) facilitates the formation of Co(I)N 4 sites to catalyze the SF 6 electrochemical reduction. By using highly porous holey nitrogen‐doped carbon nanocages as carbon matrix, the LiSF 6 cells deliver a high discharge voltage of 2.82 V at 50 mA g C+CoPc −1 and an unprecedented areal capacity of 25 mAh cm −2 at 0.1 mA cm −2 , much superior to previous results. This work opens up new possibilities for high‐efficiency conversion of SF 6 in lithium batteries.
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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) | 0.000 | 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 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".