Bibliographic record
Abstract
To improve the energy density of LiFePO 4 (LFP) cathode materials for Li-ion cells, we have utilized a modified mechanofusion method for preparing micrometer-sized LFP/C composite flake particles. The resulting flake particle morphology resulted in improved packing efficiency, enabling an electrode porosity of 14% to be achieved at high loadings, which represents a volumetric energy density increase of 28% compared to conventional LFP. Furthermore, LFP/C flake composites electrodes were found to have a higher coulombic efficiency, a reduced voltage–polarization, and a greatly reduced charge transfer resistance compared to conventional LFP electrodes. This is believed to be due to the low surface area of the LFP/C flake composite particles coupled to fast Li + ion grain boundary diffusion. The ability to make highly dense LFP and low surface area electrodes could have profound impacts, allowing for Li-ion cells to be made with low cost and low environmental impact LFP, while high achieving volumetric energy densities and high coulombic efficiencies.
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 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 | 0.000 |
| 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 teacher head, 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".