The Universal Super Cation‐Conductivity in Multiple‐cation Mixed Chloride Solid‐State Electrolytes
Bibliographic record
Abstract
Abstract As exciting candidates for next‐generation energy storage, all‐solid‐state lithium batteries (ASSLBs) are highly dependent on advanced solid‐state electrolytes (SSEs). Here, using cost‐effective LaCl3 and CeCl3 lattice (UCl3‐type structure) as the host and further combined with a multiple‐cation mixed strategy, we report a series of UCl3‐type SSEs with high room‐temperature ionic conductivities over 10−3 S cm−1 and good compatibility with high‐voltage oxide cathodes. The intrinsic large‐size hexagonal one‐dimensional channels and highly disordered amorphous phase induced by multi‐metal cation species are believed to trigger fast multiple ionic conductions of Li+, Na+, K+, Cu+, and Ag+. The UCl3‐type SSEs enable a stable prototype ASSLB capable of over 3000 cycles and high reversibility at −30 °C. Further exploration of the brand‐new multiple‐cation mixed chlorides is likely to lead to the development of advanced halide SSEs suitable for ASSLBs with high energy density.
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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 | 0.000 |
| 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".