Ion‐Framework Electrolyte Featured Zinc‐Ion Transport for Solvent and Interphasial Co‐Passivation
Bibliographic record
Abstract
Abstract The rapid application of zinc‐ion (Zn 2+ ) energy storage lacks favorable solvation structures to simultaneously form inert electrolyte environments and robust solid electrolyte interphase (SEI), which means that Zn 2+ devices cannot synchronously against the side reactions, Zn dendrites and narrow electrochemical stability windows, further hindering their wide operative voltage window and ultra‐long service life. Here, ion‐framework electrolytes are designed by using large‐sized inert‐ammonium salts as the main solute. The ion framework, assembled from ultra‐large solvation ion clusters containing large tetraethylammonium cations, large anions, and abundant solvents via electrostatic interactions, not only forms suitable channels for Zn 2+ transport but also constrains free solvents to passivate their electrochemical activity, achieving an ultra‐wide electrochemical stability window about 3.72 V. More importantly, the enrichment of the ion framework at Zn interface generates a homogenous SEI with the dense polymer‐inorganic hybrid structure to passivate the interphasial chemistry, which eliminates the Zn dendrites and side reactions. Therefore, Zn anode using this electrolyte achieves the ultra‐long cycling stability of 8,150 h, and Zn metal||activated carbon capacitors exhibit a high operative voltage (0–2.1 V) and ultra‐long cycle life (≈170,000 cycles at 10 A g −1 ). This electrolyte design principle is promising for addressing the typical challenges in other metal‐ion systems.
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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".