Heterogeneous Nanodomain Electrolytes for Ultra‐Long‐Life All‐Solid‐State Lithium‐Metal Batteries
Bibliographic record
Abstract
Abstract Solid polymer electrolytes exhibit huge advantages but are hindered by insufficient mechanical strength and ionic conductivity in the applications of all‐solid‐state lithium‐metal batteries (ASSLBs). Herein, poly(ether‐block‐amide) (Pebax) strategies to construct heterogeneous nanodomain electrolytes (HNEs) for ultra‐long‐life ASSLBs are introduced. Pebax HNEs forms conductive nanodomains via phase separation, exhibiting interconnected and high Li + conductive features. Compared with conventional PEO‐based electrolytes, the Pebax HNEs with controllable size and order can facilitate rapid Li + transport with steerable transport channels, further enhancing the Li + conductivity and inducing the uniform Li + deposition. Furthermore, the obtained thin and dense hybrid SEI layer with potent mechanical strength can synergistically suppress the dendrite growth, and the as‐prepared ASSLBs exhibit a satisfactory capacity with a tiny capacity reduction of 0.013% per cycle over 1500 cycles. This work provides a brand‐new insight to construct a conductive structure in electrolytes for high‐performance ASSLBs.
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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) | 0.001 | 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 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".