A bifunctional nitrile additive for high-performance lithiumoxygen batteries
Bibliographic record
Abstract
Li-O2 batteries with high energy density hold significant promise as next-generation energy storage systems. However, Li-O2 batteries have poor cycling performance at high current densities and large capacities, primarily due to the high impedance caused by the instability of the lithium anode and the sluggish kinetics in the discharge products decomposition on the cathode. Herein, we investigated a bifunctional nitrile additive (2-methoxy benzonitrile (2-MBN)) with good chemical/electrochemical stability to improve the performances of Li-O2 batteries. The 2-MBN could actively modify the anode by ensuring uniform Li+ deposition and optimizing the composition of solid electrolyte interphase (SEI). Meanwhile, it could also facilitate the decomposition of discharge products by inducing the formation of sheet-like Li2O2, significantly reducing the battery charge overpotential. The bifunctional effects of 2-MBN for the anode and cathode enable Li-O2 batteries to achieve a stable lifetime of 97 cycles at a current density of 600 mA·g−1 with a fixed capacity of 2000 mAh·g−1, much better than that of Li-O2 batteries without 2-MBN (28 cycles). The inclusion of 2-MBN provides an effective approach for attaining high-performance Li-O2 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".