Effect of Postannealing on the Properties of a Ta-Doped Li<sub>7</sub>La<sub>3</sub>Zr<sub>2</sub>O<sub>12</sub> Solid Electrolyte Degraded by Li Dendrite Penetration
Bibliographic record
Abstract
In this study, we investigated the effect of postannealing on the properties of a garnet-type Ta-doped Li 6.55 La 3 Zr 1.55 Ta 0.45 O 12 (Ta-LLZO) ceramic solid electrolyte degraded by lithium (Li) dendrite penetration during electrochemical Li plating and stripping testing in a Li/Ta-LLZO/Li symmetric cell. After the electrochemical testing in the symmetric cell, the Ta-LLZO pellet was taken out of the cell and then annealed at 800 or 900 °C for 4 h in air. It was confirmed that locally discolored spots on the Ta-LLZO surface at which Li dendrite penetrated disappeared after postannealing. The total conductivity of the annealed Ta-LLZO pellet was lower than the initial one but was retained above 10 –4 S cm –1 at room temperature. When the soft-shorted or degraded area size by Li dendrite penetration is localized and smaller than the area size for Ta-LLZO, it is expected that the degradation of the conductivity of annealed Ta-LLZO becomes smaller. Obtained electrochemical results indicate the possibility of reusing the degraded garnet-type solid electrolyte by Li dendrite penetration in another all-solid-state Li battery.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 | 0.001 |
| 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".