The Effects of Dispersant on Slurry Properties and Electrochemical Behavior of LiMn <sub>0.6</sub> Fe <sub>0.4</sub> PO <sub>4</sub> /Graphite Batteries
Bibliographic record
Abstract
Phase separation during the slurry preparation process significantly shortens the slurry's usable lifetime, negatively impacting coating uniformity on the current collector and degrading electrochemical performance.This study investigates the effect of a small amount of proprietary dispersant on the slurry stability and electrochemical behavior of LiMn0.6Fe0.4PO4(LMFP) cathode.Three dispersant concentrations were tested and compared with a pristine sample containing no dispersant.A combination of digital microscopy, slurry storage evaluation, scanning electron microscopy, electrochemical impedance spectroscopy, and longterm cycling were used to assess the influence of dispersant on both slurry behavior and electrode performance.Results demonstrate that even a small amount, 0.01 wt%, of proprietary dispersant effectively suppresses phase separation, enabling better slurry handling and coating consistency, while preserving the electrode's morphology and electrochemical performance.These findings support the use of optimized dispersant strategies in the scalable production of LMFP electrodes.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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; 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".