Assembling an All-Solid-State Ceramic Battery: Assessment of Chemical and Thermal Compatibility of Solid Ceramic Electrolytes and Active Material Using High Temperature X-Ray Diffraction
Bibliographic record
Abstract
Lithium ion batteries (LIBs) are the most known and used batteries for portable energy storage because of their high energy densities, long cycle life and relatively low price. However, they still fall short for the development of long range electric vehicles and stationary applications due to organic liquid electrolytes that are currently electrochemically limited and present safety issues (fire or explosion in case of short-cut or overcharging). Solid oxide electrolytes appear to be one of the solutions because of their non-flammability and wide potential window. Inorganic oxide electrolytes have reasonable ionic conductivities (10 -5 -10 -3 S/cm at ambient temperature), high mechanical strength, and high chemical stability. Assembling an all ceramic solid-state battery with inorganic oxide electrolyte is challenging as it requires a deep knowledge of the thermal, chemical and electrochemical behavior of each component of the cell. The battery must be a continuous monolithic block with a thin dense electrolyte separator, in order to minimize the polarization. In addition, optimized interfaces between active material and electrolytes must be ensured in the composite electrodes. This is often achieved with oxide-based materials by using high temperature processing. Thermal expansion occurring during this step can lead to cracks, which will affect the performance and cyclability of the device. The primary driving force of a crack during the fabrication of hybrid ceramic is the stress due to mismatch in the coefficient of thermal expansion (TEC) of the various layers/materials. Moreover, it must be certain that no reaction occurs between active material and electrolytes in the sintering temperature range. These are then two key parameters to address for the development of all ceramic solid-state batteries. In this work, in situ-XRD has been used to determine the TEC and the thermal stability of various well-known oxide active materials and solid electrolytes. The aim of this presentation is to discuss about the best selection of compatible oxide-based materials to avoid unwanted cracks or reaction during the sintering processing of ceramic solid-state batteries.
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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 | 0.001 | 0.001 |
| 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) | 0.001 | 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".