Progress and Challenges of Water‐in‐Salt Electrolytes: Exploring Physical Chemistry Properties and Solid Electrolyte Interphase Formation Mechanisms
Bibliographic record
Abstract
Abstract “Water‐in‐salt” (WIS) electrolytes endow the possibility of commercial aqueous devices due to the extending electrochemical stability window (ESW). However, there is still a long way to address current issues until future practical applications, such as the high cost of salts, the cathodic limit, and the controversial mechanism of solid‐electrolyte interphase (SEI). In this review, we first introduce cutting‐edge WIS electrolytes and display their current issues. After, the reported tactics of solving issues and achievements in our group are listed, including four sections: 1) physical structure; 2) SEI formation analysis; 3) additives contributions; and 4) devices. In the end, we focus on the current challenges and perspectives of WIS electrolytes for aiming at the practical applications of aqueous energy storage devices.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".