Polyaniline Electrode Activation in Li Cells
Bibliographic record
Abstract
Polyaniline (PANi) can be used as an electroactive organic cathode material in Li-cells with multiple redox states. The theoretical specific capacity of the emeraldine base (PEB) is 150 mAh g−1. In this study, we show how the specific capacity of PEB90−xCBxPVDF10 cathodes is dependent upon the mass percentage of PEB and carbon black (CB) in the potential range of 2.0–4.0 V. The capacity of PEB90−xCBxPVDF10 cathodes is initially very low, steadily increasing during initial cycling. A constant capacity is eventually reached with continued cycling. Microscopic imaging and elemental analysis of cycled electrodes reveals how the electrode composition and morphology of PEB90−xCBxPVDF10 cathodes plays an integral role in the magnitude of the specific capacity during the initial and steady state cycles. We propose a diffusion-limited model as an attempt to elucidate the differences in the total specific capacity among PEB90−xCBxPVDF10 cathodes. From our findings, we propose that increasing CB content provides more ion-diffusion channels throughout the PEB90−xCBxPVDF10 cathodes. This model is consistent with our findings in that more CB content reduces the amount of cycles required to reach steady state cycling and increases the magnitude of the specific capacity at steady state.
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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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".