Li-Ion Pouch Cells Made with a Scalable Nanosilicon-Graphite Composite Anode
Bibliographic record
Abstract
Nanosilicon can be dropped-in the battery-graphite processing flow to form a composite having enhanced specific capacity and improved capacity retention. The resulting active material was used to fabricate pouch cell using a pilot scale semi-automated battery manufacturing line without any special treatment or processing. This demonstrated that such a technological platform could be transparent to cell manufacturers. The electrochemistry of the composite active material will be evaluated in half-cells against Li metal and in full cells against NMC 532 by polarization curves, differential capacity analysis (dQ/dV) and rate mapping to evaluate the performance. Further characterization by in-operando X-ray diffraction, focused ion-beam x-section images made with a scanning electron microscope will be showed and discussed in an attempt to better understand the structure of the composite. This opens the door to the evaluation of numerous promising nanomaterials and graphite feeds in a rather simple fashion, most importantly a scalable one.
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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 | 0.001 | 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".