Bioinspired Tough Solid‐State Electrolyte for Flexible Ultralong‐Life Zinc–Air Battery
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Manufacturing advanced solid‐state electrolytes (SSEs) for flexible rechargeable batteries becomes increasingly important but remains grand challenge. The sophisticated structure of robust animal dermis and good water‐retention of plant cell in nature grant germane inspirations for designing high‐performance SSEs. Herein, tough bioinspired SSEs with intrinsic hydroxide ion (OH − ) conduction are constructed by in situ formation of OH − conductive ionomer network within a hollow‐polymeric‐microcapsule‐decorated hydrogel polymer network. By virtue of the bioinspired design and dynamic dual‐penetrating network structure, the bioinspired SSEs simultaneously obtain mechanical robustness with 1800% stretchability, good water uptake of 107 g g −1 and water retention, and superhigh ion conductivity of 215 mS cm −1 . The nanostructure of bioinspired SSE and related ion‐conduction mechanism are revealed and visualized by molecular dynamics simulation, where plenty of compact and superfast ion‐transport channels are constructed, contributing to superhigh ion conductivity. As a result, the flexible solid‐state zinc–air batteries assembled with bioinspired SSEs witness high power density of 148 mW cm −2 , specific capacity of 758 mAh g −1 and ultralong cycling stability of 320 h as well as outstanding flexibility. The bioinspired methodology and deep insight of ion‐conduction mechanism will shed light on the design of advanced SSEs for flexible energy conversion and storage systems.
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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 | 0.001 | 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 it