Metal–Organic Coordination Enhanced Metallopolymer Electrolytes for Wide‐Temperature Solid‐State Lithium Metal Batteries
Bibliographic record
Abstract
Abstract The practical application of polymer electrolytes is seriously hindered by the inferior Li + ionic conductivity, low Li + transference number ( t Li+ ), and poor interfacial stability. Herein, a structurally novel metallopolymer is designed and synthesized by exploiting a molybdenum (Mo) paddle‐wheel complex as a tetratopic linker to bridge organic and inorganic moieties at molecular level. The prepared metallopolymer possesses combined merits of outstanding mechanical and thermal stability, as well as a low glass transition temperature ( T g <−50 °C). Based on this metallopolymer, an advanced metal–organic coordination enhanced metallopolymer electrolyte (MPE) is developed for constructing high‐performance solid‐state lithium metal batteries (LMBs). Due to the unsaturated coordination of Mo atoms, the uniformly distributed Mo‐polyoxometalates (Mo‐POMs) in metallopolymer skeleton can effectively immobilize anions (bis(fluorosulfonyl)imide anions, FSI − ) and promote the dissociation of Li salts. Moreover, dynamic metal–organic coordination bonds endow the MPE with re‐processability and self‐healing, enabling it to accommodate electrode volume changes and maintain good interfacial contact. Consequently, the MPE achieves a competitive ionic conductivity of 0.712 mS cm −1 (25 °C), a high t Li+ (0.625), and a wide electrochemical stability window (>5.0 V). This study presents a unique MPE design based on metal–organic coordination enhanced strategy, providing a promising solution for developing wide‐temperature solid‐state LMBs.
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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) | 0.000 | 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) | 0.000 | 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".