Solvent-Free Approach for Interweaving Freestanding and Ultrathin Inorganic Solid Electrolyte Membranes
Bibliographic record
Abstract
All-solid-state batteries (ASSBs) have gained considerable attention due to their inherent safety and high energy density. However, fabricating ultrathin and freestanding solid electrolyte membranes for practical all-solid-state pouch cells remains challenging. In this work, polytetrafluoroethylene (PTFE) fibrilization was utilized to interweave inorganic solid electrolytes (SEs) into freestanding membranes. Representative SE membranes, including Li 6 PS 5 Cl, Li 3 InCl 6, and Li 6.5 La 3 Zr 1.5 Ta 0.5 O 12, demonstrate not only a thickness of 15–20 μm but also high room-temperature ionic conductivity (>1 mS cm –1 ). All-solid-state pouch cells with bilayer Li 6 PS 5 Cl and Li 3 InCl 6 membranes deliver a high capacity of 124.3 mAh g –1 at 0.1 C and an initial Coulombic efficiency of 89.4%. Furthermore, using a 20 μm LLZTO membrane as a ceramic separator, a solid-state pouch cell with a high-capacity LiNi 0.8 Mn 0.1 Co 0.1 O 2 electrode (>3 mAh cm –2 ) displays both exceptional cycling stability and unprecedented safety. We believe that this solvent-free technology would be a feasible and cost-effective means of transferring ASSB technology from the laboratory to the factory.
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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 | 0.001 |
| 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".