Optimizing electrolyte systems for stable and low-temperature zinc-ion batteries via efficient coordinator
Bibliographic record
Abstract
Aqueous zinc-ion battery suffers poor cycling stability due to uneven Zn2+ deposition and serious dendrite growth. To effectively protect the Zn metal anode, diglyme (G2) is added as the co-solvent. Adding G2 can reconstruct the Zn2+ solvation structure and reduce the water molecule content of [Zn(H2O)6]2+ sheath. Theoretical calculations confirm that by adding G2, the triflate group OTF− ion shows greater interaction with Zn, and the water molecules from the [Zn(H2O)6]2+ solvation structure are replaced by OTF− ions. Benefitted from this, an organic-inorganic SEI layer is formed on the Zn anode, which isolates the Zn anode from the bulk electrolyte, and allows/suppresses Zn2+ diffusion. As well, Zn corrosion and side reactions are inhibited in this system. This co-solvent electrolyte system has a high Coulombic efficiency of 99.7%. A long cycling life of 1000 cycles with capacity retention of 80% is demonstrated by Zn//iodine (I2) - Activated Carbon (AC) full cell at room temperature. Even under a low-temperature condition (−18 °C), Zn//I2 - AC full cell shows a long lifespan of 1000 cycles with capacity retention of 65%. This work demonstrates a new direction and unparalleled insight into electrolyte engineering with solvation structure regeneration and SEI player formation for 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 | 0.000 |
| 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) | 0.000 | 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".