Emerging Halide Solid Electrolytes for Sodium Solid‐State Batteries: Structure, Conductivity, Paradigm of Applications
Bibliographic record
Abstract
Abstract Solid‐state sodium batteries (SSSBs) hold great promise for the development of safe, low‐cost energy storage devices. Developing solid electrolyte (SE) materials with high ionic conductivity, high chemical and electrochemical stability, as well as good mechanical properties is the most critical step. As a promising category of SEs, halide‐based solid electrolytes combine good ionic conductivity and good electrochemical stability, and they have been already widely studied for their use in lithium‐based solid‐state batteries. In contrast, knowledge of their sodium analogues is still limited. Here, we provide a comprehensive overview of halide SEs for sodium ion conduction with a perspective of both experimental and theoretical studies, including the correlation of structure and properties; sodium ion conductivity and diffusivity; as well as compatibility with electrode materials. We hope this perspective can stimulate more research in developing halide‐based SSSBs.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".