Efficient direct regeneration of spent LiFePO4 by low-temperature sintering
Bibliographic record
Abstract
The morphology, crystal structure, and electrochemical performance of spent LiFePO 4 (S-LFP) are recovered by one-step low-temperature solid phase sintering. After sintering at 550 °C for 3 h, the secondary particle size distribution of regenerated LiFePO 4 (R-LFP) becomes narrower, and the D 50 is reduced from 5.6 to 2.3 μm. In addition, the content of Li−Fe antisite defect is reduced from 5.73% to 1.20%, and the F is doped to O(2) site in the structure of R-LFP. Moreover, a coating layer comprising carbon and LiF is formed on the surface of R-LFP because of the decomposition of PVDF. Therefore, the R-LFP demonstrates exceptional Li + diffusion dynamics and conductivity, which delivers a high discharge capacity of 157.3 mA·h/g at 0.1 C . And it maintains 92% of its initial capacity after 500 cycles at 1 C .
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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) | 0.001 | 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".