Improved Composite Solid Electrolyte through Ionic Liquid-Assisted Polymer Phase for Solid-State Lithium Ion Batteries
Bibliographic record
Abstract
Organic-inorganic solid-state composite electrolyte is of great promise to support the high-performance and safe energy storage applications. Herein we developed an ionic liquid-assisted PEO-LAGP-EMITFSI composite electrolyte (PLE) for advanced solid-state lithium ion batteries (LIBs). The EMITFSI ionic liquid was employed as the plasticizer to effectively lower the crystallinity of the composite and thus significantly enhance the ionic conductivity up to 8.85 × 10 −4 S cm −1 at 60°C. Combined with its good electrochemical stability and decent ion transference selectiveness, the optimized PLE electrolyte contributed to an excellent battery performance in LiFePO 4 /PLE/Li configuration with high capacity retention of 114.7 mAh g −1 after 120 cycles and good rate capability of 112.2 mAh g −1 at 1C, indicating its great potential in developing high-performance solid-state LIBs.
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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 | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".