A 3D Network Based on Poly(ε-caprolactone) Macromonomers as Polymer Electrolyte for Solid State Lithium Metal Batteries
Bibliographic record
Abstract
A commercial low molecular weight poly(ε-caprolactone) was chain-extended with acrylate moieties to create a macromonomer, which was then polymerized by radical reaction in the presence of different amounts of lithium bis(trifluoromethanesulfonyl)imide, LiTFSI, to obtain a 3D network Solid Polymer Electrolyte (SPE). The SPE with the largest ionic conductivity (24 μS cm−1 at 50 °C) had a high transference number of 0.78 and could form a self-standing film. Lithium Iron Phosphate (LFP)/SPE/Li cells made with this SPE attained a specific capacity of 120 mA.h.g−1. At 50 °C, the initial capacity declined by less than 15% after 150 cycles at 0.2 C. No evidence of degradation and dendrite growth was observed, indicating that the 3D network was stable. Thus, caprolactone-based 3D networks are promising materials for the fabrication of all solid-state batteries with high stability and cyclability, at near room temperature.
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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 | 0.000 | 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".