Challenges and Strategies of Low‐Pressure All‐Solid‐State Batteries
Bibliographic record
Abstract
All-solid-state batteries (ASSBs) are regarded as promising next-generation energy storage technology owing to their inherent safety and high theoretical energy density. However, achieving and maintaining solid-solid electronic and ionic contact in ASSBs generally requires high-pressure fabrication and high-pressure operation, posing substantial challenges for large-scale production and application. In recent years, significant efforts are made to address these pressure-related challenges. In this review, the impact of pressure on ASSBs is explored. First, the categories, origins, and challenges associated with pressure in ASSBs are outlined. Second, an overview of recent advancements in addressing pressure-related issues in ASSBs is provided, focusing on electrode materials and their interfaces with various solid-state electrolytes (SSEs). Third, advanced characterizations and simulations employed to unravel the intricate electrochemical-mechanical interactions in ASSBs are examined. Finally, existing strategies and the insights on achieving low-stack-pressure ASSBs are presented.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".