Dual‐Anion‐Dominated Electrolyte Design Manipulating Coordination and Boron‐Rich Interphase for Self‐Healing and Long‐Life Mg Metal Anode
Bibliographic record
Abstract
Abstract Practical magnesium electrolyte options are limited by magnesium salt solubility in organic solvents and compatibility with metallic magnesium anode/cathode materials. Herein, a dual‐anion electrolyte system (YBTFC) consisting of 0.2 m magnesium chloride (MgCl 2 ) and 0.4 m dibutylboron trifluoromethanesulfonate (TFBA) in 1,2‐Dimethoxyethane (DME) solvent to regulate the coordination chemistry and the interface structure is proposed. As an anion receptor, TFBA facilitates Lewis‐acid‐base reactions that foster the dissociation of insoluble MgCl 2 and the formation of bi‐anions. The CF 3 SO 3 − modulates the solvation sheath to reduce DME coordination strength and penetrates Mg passive films, enabling reversible plating. Concurrently, the bulky B(CF 3 SO 3 ) 4 − preferentially decomposes into boron‐rich interphases, enhancing Mg 2 ⁺ transport kinetics while suppressing contact ion pair formation to extend operational temperature range. This combination of exceptional durability, low‐temperature operation (−30 °C), and inherent interfacial self‐healing is rarely observed in boron‐based electrolytes. Critically, the boron‐rich nature of YBTFC electrolyte facilitates B‐O interphase formation on both electrode interfaces. Accordingly, the Mg|YBTFC|Mo 6 S 8 cell achieves a discharge specific capacity of 50 mAh g −1 and outstanding cycling stability of 4500 cycles at a 3C rate. Overall, tailoring Mg 2+ coordination chemistry and constructing a boron‐rich interphase via a dual‐anion electrolyte provides a viable approach for realizing long‐life, high‐rate‐performance magnesium batteries.
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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".