LiNO<sub>3</sub>‐Based Electrolyte with Fast Kinetics for Lithium Metal Batteries Under Practical Conditions
Bibliographic record
Abstract
Abstract To be commercially viable, the electrolyte for lithium metal batteries (LMBs) must enable both long cycle life and fast charging characteristics under extreme conditions (high cathode loading, low negative/positive ratio, and low electrolyte/cathode ratio). While LiFSI‐based electrolytes typically provide LMBs with extended cycle life, they often fall short in terms of kinetics. This study, for the first time, demonstrates that the LiNO 3 ‐based electrolyte can simultaneously achieve excellent reversibility and rapid kinetics in LMBs, outperforming state‐of‐the‐art LiFSI‐based electrolytes. Notably, LiNi 0.8 Co 0.1 Mn 0.1 O 2 (NCM811) || Li batteries exhibit 80% capacity retention after 430 cycles, along with outstanding rate performance (2.35 mAh cm⁻ 2 at 12 mA cm −2 ) under practical conditions (20 mg cm −2 NCM811, 50 µm Li foil, and 5.6 mL Ah⁻¹ electrolyte). The rapid kinetics can be attributed to the efficient transport of lithium ions through both the bulk electrolyte and the electrode/electrolyte interphases. The work highlights the significance of low‐cost LiNO 3 salt and presents an alternative pathway to achieving superior performance for lithium metal batteries under extreme conditions.
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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) | 0.001 | 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".