Multifunctional flame‐retardant co‐based interlayer for improving lithium−sulphur batteries performance
Bibliographic record
Abstract
Abstract Lithium–sulphur batteries (LSBs) have elicited great interest due to their remarkably high energy density. However, challenges such as the dissolution of lithium polysulfides (LiPSs), low reaction kinetics, and safety concerns associated with LSBs impede large‐scale application. In this work, a multifunctional Co‐HP‐GC interlayer was prepared using evaporation, refluxing, and impregnation procedures. Notably, after ignition, this interlayer retained its structural integrity, indicative of excellent flame retardancy and thermal stability. Furthermore, the addition of cobalt atoms augmented the cyclic performance of the batteries by expediting the redox kinetics of LiPSs transformation and electron transfer at the interface. The electrodeposition capacity of Li 2 S cathode with Co‐HP‐GC interlayer reached up to 199.2 mAh g −1 , higher than the 155.7 mAh g −1 achieved with a graphene oxide/carbonized fibre paper (G‐CCP) interlayer. This, in turn, curtails the shuttle effect whilst improving sulphur utilization. LSBs possessing a Co‐HP‐GC interlayer demonstrated superior cyclic and rate performance. At 0.5 C, the initial specific capacity of the battery fitted with a Co‐HP‐GC interlayer was 915.8 mAh g −1 , with the rate of attenuation reduced by approximately half. The strategy integrates the multifunctional flame‐retardant interlayer into various battery systems, demonstrating wide‐ranging potential applicability within the realm of LSBs.
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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".