Synergy of Strongly Coordinating Salts and Weakly Coordinating Solvents Enables Stable and Fast-Kinetics Zinc Metal Batteries
Bibliographic record
Abstract
The development of Zn metal batteries is hindered by Zn dendrites, notorious side reactions, and performance decay in harsh temperatures. Despite the efficacy of strongly coordinating organic solvents in addressing these issues, challenges persist regarding low ionic conductivity, high viscosity, and high desolvation barrier, particularly at low temperatures. Additionally, the strongly coordinating solvents around Zn 2+ diminish anions participating in the first solvation shell, leading to the formation of an organic-rich interphase. To achieve balanced physicochemical properties, an electrolyte system combining chaotropic Zn(ClO 4 ) 2 salts with weakly coordinating solvents (MeOH) and highly coordinating salts (Zn(OAc) 2 ) is proposed. Experimental and simulation results reveal that this system creates an anion-rich solvation shell with low desolvation barriers, inhibiting water decomposition and promoting the formation of an inorganic–organic-rich solid electrolyte interphase. OAc – also assists in the dense vertical zinc deposition along the (101) crystal plane. The reconstructed weak hydrogen bonds between MeOH and H 2 O break the highly ordered structure of water at low temperatures, enabling a higher ionic conductivity. Consequently, the battery employing the designed system yields superior electrochemical performance across a wide temperature range (−80 °C–40 °C). The proposed strategy facilitates the electrolyte design for wide-temperature Zn metal batteries with fast reaction kinetics.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".