Tri-functionalized electrolyte additive as an interfacial stabilizer for lithium metal anodes
Bibliographic record
Abstract
Li metal has received noticeable interest as a post-anode material, however, many critical hurdles remain in its application in conventional batteries. Herein, we have designed and prepared an additive, the AF, that is functionalized by three individual functional groups: vinyl-, bis(fluorosulfonyl)imide-, and acetal functional groups. The AF-additive promotes forming solid-electrolyte interphase (SEI) layers at the Li metal interface via electrochemical reduction at a higher potential than that found in the carbonate-based electrolyte, which is predominately composed of inorganic species, such as lithium fluoride, rather than polycarbonate. The ionic conductivity of the electrolyte with the AF-additive is well retained even when the amount of AF-additive is increased because the acetal functional group may form acetal–Li + complexes, which encourages Li + migration. The AF-additive controlled electrolyte offers improved cycling retention in the both Li/Li symmetric cell and Li/NCM cell because the AF-additive not only effectively suppresses electrolyte decomposition at the interface of Li metal but also inhibits the formation of Li dendrites based on enhanced Li metal stability.
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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".