Air-Stable Li <sub>2</sub> C <sub>6</sub> O <sub>6</sub> and Li <sub>4</sub> C <sub>6</sub> O <sub>6</sub> as High-Efficiency Lithium Compensation Additives in Cathode
Bibliographic record
Abstract
The continuous lithium consumption during cycling severely reduces the energy density of the lithium battery, and thus, lithium compensation is essential. Herein, Li x C 6 O 6 ( x = 2, 4) was proposed as an air-stable high-efficiency sacrificial additive in the cathode to compensate for the lost lithium ions in solid-state lithium batteries. Below a delithiation (oxidation) potential as low as 3.8 V, Li 2 C 6 O 6 can release most of its Li + ions (294.8 mAh g −1 in theory). Similarly, Li 4 C 6 O 6 is also characteristic of low oxidation potential and high delithiation capacity (547.8 mAh g −1 in theory). The feasibility of using Li x C 6 O 6 as the self-sacrificial additive in the cathode was verified with the marked increase of the initial charge capacity of the Li||LiFePO 4 (half) cells and the initial discharge capacity of Cu||LiFePO 4 (full) cells, and the improved electrolyte/cathode interface stability and interface contact, in the solid-state poly(ethylene oxide)-lithium bis(trifluoromethane)sulfonimide (PEO-LiTFSI) electrolyte. In addition, the structure and delithiation of Li x C 6 O 6 and the impacts of its decomposition product on the PEO-LiTFSI solid electrolyte were also evaluated on the basis of the comprehensive physical characterizations and the density functional theory (DFT) calculations. These findings open a new avenue for elevating the energy density and/or elongate the lifespan of the solid-state secondary 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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.005 | 0.005 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.007 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".