Navigating Solvent Chemistry and Microstructures: Towards Mechanically-enhanced Ceramic-rich Composite Electrolytes
Bibliographic record
Abstract
Ultra-thin ceramic-rich solid composite electrolytes provide a safer and potentially higher energy-density alternative to liquid electrolytes used in today’s lithium-ion batteries. Producing ultra-thin composites with ceramic-like ionic conductivity requires the incorporation of a polymeric binder for enhanced ductility. In this perspective, we discuss two key aspects that must be considered when designing composite electrolytes: (1) the mechanical properties of the composite and its correlation with the ceramic and polymer microstructure, and (2) the chemistry between the ceramic electrolytes, polymers, and solvents used to process the composites. We highlight the importance of understanding (1) the ceramic structure, crystallinity, and particle size upon solvent processing and (2) the ceramic/polymer interface chemistry and its correlation with the microstructure of the composites. We present opportunities in fabricating ultra-thin support structures for composites, optimizing ceramic particle packing parameters, and routes toward mechanically enhanced, compact, composite-based solid-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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".