High Ion Conducting Solid Composite Electrolytes with Enhanced Interfacial Compatibility for Lithium Metal Batteries
Bibliographic record
Abstract
Abstract The utilization of lithium metal anodes is crucial for further advancement of the energy density of lithium batteries. Solid electrolytes with high ionic conductivity at ambient temperature and good mechanical strength are key to realizing the large‐scale application of solid‐state lithium‐metal batteries. In particular, the formation of a homogeneous and stable solid‐electrolyte interphase is crucial for improving the safety and coulombic efficiency of lithium‐metal batteries. Herein, a solid composite electrolyte design based on a cyclic carbonate‐cyclic ether copolymer is exploited. The cyclic carbonate segments in the solid composite electrolyte provide high mechanical integrity, whereas the cyclic ether groups promote the dissociation of lithium salts and the formation of a stable solid‐electrolyte interphase. Thus, the solid composite electrolyte exhibits a high ionic conductivity of 1.58×10−4 S cm−1 and a high lithium transference number of 0.55 at room temperature. Furthermore, optimization of the solid‐electrolyte interphase composition and the inhibition of lithium dendrites are demonstrated. Most importantly, excellent rate capability and cycling stability at room temperature and below (10 °C) are achieved in solid‐state lithium‐metal batteries with the solid composite electrolyte.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".