Deconvoluting Slurry Rheology from Binder Performance in Si-Based Anodes
Bibliographic record
Abstract
A systematic investigation was undertaken on the effect of sodium poly(acrylic acid) (NaPAA) binder molecular weight on silicon monoxide cycling performance. It was found that cycling performance was poor for low molecular weight binder, however this was primarily related to poor slurry rheology. We found that if propylene glycol is used instead of water as a slurry solvent, it can take over the role of viscosity modifier from the binder. When propylene glycol is used as a solvent for slurries with low MW NaPAA binders (e.g. 1.5 k NaPAA), the cycling outperformance of the resulting SiO electrodes outperforms conventionally made SiO electrodes with high molecular weight binder (e.g. 250 k NaPAA). These results show that binder molecular weight only affects the cycling performance of Si-alloy based electrodes because of its role as a slurry viscosity modifier. If propylene glycol is used to increase slurry viscosity, then the molecular weight has little effect.
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) | 0.000 | 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".