Orthogonal Solvent Mediation for Solid Composite Electrolyte Synthesis: Phase Integration via Particle Dispersion
Bibliographic record
Abstract
Ceramic-rich solid-composite electrolytes exhibit ceramic-like ionic conductivity and enhanced mechanical property, making them promising candidates for market-relevant solid-state batteries. In-depth knowledge of the microstructure within the composite electrolytes for ideal performances and their correlation with the choice of materials and processing methods are not well-understood. Herein, we report a solution-cast, free-standing composite film comprised of well-integrated ceramic (Li3InCl¬6) and binder (Styrene-Ethylene-Butylene-Styrene, SEBS) phase, which simultaneously provides Li+ transport pathways and the required mechanical support. In the formation of this unique microstructure, we mark the mediator role of dibutyl ether – a low polarity solvent that forms a non-invasive polar-ionic interaction with the electronegative metal elements at the surface of Li3InCl¬6 particles to suspend and disperse Li3InCl6 particles in the dissolved SEBS matrix, facilitating phase integration. This weak interaction only occurs at chosen conditions; increased solvent-to-ceramic ratio and interaction time can induce Li3InCl6 decomposition. Our results correlate the electrochemical performance of a ceramic-rich Li3InCl6-SEBS composite electrolyte film with its microstructure; the latter was demonstrated to be potentially tunable by altering the molecular structure of the solvent and the parameters used in composite electrolyte synthesis procedures. This work provides materials structural-level insights that underpin the design principle of solution-cast solid composite electrolytes.
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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 | 0.001 |
| 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".