Correlating Structure and Properties of Super‐Concentrated Electrolyte Solutions: <sup>17</sup>O NMR and Electrochemical Characterization
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Bibliographic record
Abstract
Abstract Super‐concentrated electrolyte solutions are of increasing interest for safer and more stable lithium and post‐lithium batteries. The combination of 7 Li and 17 O (at natural abundance) nuclear magnetic resonance (NMR) and electrochemical characterization is proposed here as an effective approach to investigate the Li + solvation structures and properties of electrolytes featuring tetraethylene glycol dimethyl ether (TEGDME) and lithium‐bis(trifluoromethane sulfonyl) imide (LiTFSI). Five different formulations from salt‐in‐solvent to solvent‐in‐salt with LiTFSI at different concentrations (0.1 m, 0.5 m, 2 m, 4 m, 5 m) are investigated. The NMR results, also supported by physico‐chemical characterizations such as thermal gravimetric analyses, differential scanning calorimetry, specific conductivity and viscosity, give information about the association of Li + ions with anion and solvent molecules, allowing a deeper knowledge on the relationships among structure and functional properties of super‐concentrated solutions.
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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)
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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 it