Temperature effect and kinetics, <scp>LiZr<sub>2</sub></scp>(<scp>PO<sub>4</sub></scp>)<sub>3</sub> and Li<sub>1.</sub><scp><sub>2</sub>Al<sub>0</sub></scp><sub>.</sub><scp><sub>2</sub>Zr<sub>1</sub></scp><sub>.8</sub>(<scp>PO<sub>4</sub></scp>)<sub>3</sub> and electrochemical properties for rechargeable ion batteries
Bibliographic record
Abstract
Summary A NASICON‐type LiZr2(PO4)3 (LZP) and Li1.2Al0.2Zr1.8(PO4)3 (LAZP) anode materials are synthesized via a facile method, materials were characterized by a variety of structural techniques, investigated the electrochemical performance for rechargeable battery applications. A highly stable rhombohedral phase of LAZP is noticed at room temperature, with a discharge capacity of 909 mAh.g−1, which is 1.6 times higher than that of LZP. Further, the highly stable charge storage performance is observed up to 3000 cycles with a Coulombic efficiency of 99%. For the first time, we investigated the in‐situ temperature effect on the discharge capacity of the assembled anode material, found a strong effect on the discharge capacity, and achieved ~120 and 149 mAh.g−1 at 65°C for LZP and LAZP anodes. Furthermore, the real‐time charge holding effect of LAZP cell is performed with the computer, the cell worked well in the CMOS battery slot without a CMOS battery error during CPU turn‐on condition for 1536 h. In brief, an optimized electrode material of LAZP showed greater stability and capacity with high efficiency compared with LZP even at elevated temperatures. Hence, LAZP may be utilized to fabricate a coin cell for real time applications.
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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 | 0.000 | 0.000 |
| 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) | 0.004 | 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".