An Investigation of Conjugated Sulfonamide Materials as Binders for Organic Lithium-Ion Batteries
Bibliographic record
Abstract
Organic electrode materials have emerged as promising solutions for numerous energy applications. However, their full utility is impeded by their limited stability and inherently poor conductivity. To address these issues, one approach is to use functional conjugated polymers to replace the conventional insulating poly(vinylidene fluoride) (PVDF) binder that may facilitate ion/electron transport and stabilize the electrode. In this study, we report the synthesis of a series of sulfonamide π-conjugated small molecules, linear oligomers, and two-dimensional polymers and their subsequent use as binder materials for organic electrodes. We observe an enhanced specific capacity in a perylenetetracarboxylic dianhydride (PTCDA) composite electrode. The impact of dimensionality is evaluated through the battery performance. The two-dimensional sulfonamide polymer affords a 3-fold improvement in capacity retention compared to PVDF. The results presented in this work highlight that sulfonamide-containing materials are promising candidates as metal ion battery binders and that dimensionality is a key parameter for their use in lithium-ion batteries.
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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".