Improved Elevated Temperature Performance of LiFePO<sub>4</sub>/Graphite Cell by Blending NMC640 in Cathode
Bibliographic record
Abstract
Physical mixtures of LiMn2O4 (LMO) and NMC active cathode materials is a well-known strategy in commercial batteries to achieve better cycling and storage performance than cells with a pure LMO cathode. In this work, we demonstrated a similar synergic effect in LiFePO4(LFP)/NMC640 cathode material blends. Blending LFP with NMC640 in the weight ratio of 90% to 10% lead to improvements in cycling and storage compared to cells with LFP alone. A clear linear coordination between capacity loss and iron deposition on the graphite anode was observed in these blended cells. This work shows that blending NMC in LFP cathode is a promising strategy to improve the high-temperature stability of LFP/graphite cells for long-term operation.
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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) | 0.002 | 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".