Hierarchical Fluorinated Polymer Separator Design Mitigating Bilateral Ionic Crosstalk in Aqueous Batteries
Bibliographic record
Abstract
ABSTRACT Aqueous Zn//MnO 2 batteries hold significant promise for safe and cost‐effective large‐scale energy storage, yet their practical deployment is hindered by rapid performance degradation. Here, we identify bilateral ionic crosstalk, a previously overlooked failure mechanism driven by active ion, as a root cause of electrode degradation. We demonstrate that excess Zn 2+ migrating from the anode induces irreversible phase transitions at the MnO 2 cathode, forming electrochemically inert Zn x (MnO 2 ) y phase (ZMO sclerosis). Concurrently, dissolved Mn 2+ from the cathode exacerbates corrosion and dendrite growth on the Zn anode. To mitigate this crosstalk, we design a hierarchical fluorinated polymer separator (HFPS). Such HFPS enables selective cation coordination and guides ion transport, achieving simultaneous regulation of Zn 2+ and Mn 2+ fluxes. This targeted regulation effectively mitigates ionic crosstalk and stabilizes both electrodes. Batteries employing the HFPS exhibit exceptional cycling stability, retaining 97% capacity after 1,000 cycles at 0.5 A g −1 with stable operation exceeding 500 h. This performance represents a 54% lifespan enhancement over state‐of‐the‐art aqueous counterparts. Our work provides a fundamental mechanistic understanding of active‐ion‐induced failure and establishes ion flux regulation as a universal design strategy for durable aqueous zinc‐ion batteries.
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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 | 0.001 |
| 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) | 0.000 | 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".