Dielectric characteristics of fast Li ion conducting garnet-type Li<sub>5+2x</sub>La<sub>3</sub>Nb<sub>2−x</sub>Y<sub>x</sub>O<sub>12</sub> (x = 0.25, 0.5 and 0.75)
Bibliographic record
Abstract
Here, we report the dielectric characteristics of Li-stuffed garnet-type Li5+2xLa3Nb2-xYxO12 (x = 0.25, 0.5 and 0.75) in the temperature range about -53 to 50 °C using AC impedance spectroscopy. All the investigated Li-stuffed garnet compounds were prepared, under the same condition, using conventional solid-state reaction at elevated temperature in air. The Nyquist plots show mainly bulk contribution to the total Li(+) ion conductivity for Li5.5La3Nb1.75Y0.25O12 (Li5.5-Nb) and Li6La3Nb1.5Y0.5O12 (Li6-Nb), while both bulk and grain-boundary effects are visible in the case of Li6.5La3Nb1.25Y0.75O12 (Li6.5-Nb) phase at ∼-22 °C. Non-Debye relaxation process was observed in the modulus AC impedance plots. The dielectric loss tangent of Li5+2xLa3Nb2-xYxO12 are compared with that of the corresponding Ta analogue, Li5+2xLa3Ta2-xYxO12 and showed a decrease in peak intensity for the Nb-based garnet samples which may be attributed to a slight increase in their Li(+) ion conductivity. The relative dielectric constant values were also found to be higher for the Ta member (>60 for Li5+2xLa3Ta2-xYxO12) than that of the corresponding Nb analogue (∼50 for Li5+2xLa3Nb2-xYxO12) at below room temperature. A long-range order Li(+) ion migration pathway with relaxation time (τ0) 10(-18)-10(-15) s and an activation energy of 0.59-0.40 eV was observed for the investigated Li5+2xLa3Nb2-xYxO12 garnets and is comparable to that of the corresponding Ta-based Li5+2xLa3Ta2-xYxO12 garnets.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".