High‐Rate Rechargeable Li/SOCl <sub>2</sub> Batteries Enabled by Cobalt Phthalocyanine Cathodic Catalysts
Bibliographic record
Abstract
Abstract Rechargeable lithium/thionyl chloride (Li/SOCl 2 ) batteries are considered promising alternatives to lithium‐ion batteries because of their ultrahigh energy density and wide operating temperature range. However, current rechargeable Li/SOCl 2 batteries exhibit unsatisfactory rate performance that originates from the poor reversibility of SOCl 2 and is dominated by the difficulty in oxidizing the discharge product lithium chloride (LiCl). In response to this issue, cobalt phthalocyanine (CoPc) is employed as a cathode catalyst to boost the oxidation kinetics of LiCl products and thus improve the reversibility of SOCl 2 in rechargeable Li/SOCl 2 batteries. The CoPc catalyst in the Li/SOCl 2 batteries is found to not only promote the discharge reduction of SOCl 2 but also remarkably accelerate the reversible charge transformation of LiCl products by lowering the chloride ions oxidation barrier. The CoPc‐catalyzed Li/SOCl 2 batteries deliver a high specific capacity of 800 mAh g −1 at a current density of 500 mA g −1 , with a stable voltage plateau of 3.5 V over 200 cycles. Even at the ultrahigh current density of 5 mA cm −2 , these batteries can still provide a reversible capacity of 1 mAh cm −2 over 250 cycles, demonstrating excellent rate performance.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".