Bibliographic record
Abstract
Lithium–sulfur (Li–S) batteries have received considerable attention because high gravimetric capacity of sulfur can enhance the energy density of the cell far beyond those of current lithium-ion batteries (LIBs). However, the shuttling process originating from polysulfides dissolution and the low electronic conductivity of sulfur impose a significant technological bottleneck for practical application of Li-S cells. As attempts to overcome these intrinsic drawbacks of sulfur cathodes, in this presentation, I will introduce sulfur-embedded polymer designs, such as sulfur-containing covalent triazine frameworks1 and sulfur-embedded benzoxazine polymers2. Both polymers exhibit extraordinary cyclability utilizing well-dispersed sulfur domains designed from the monomer-level molecular structures. Especially, both polymer classes showed superior initial Coulombic efficiencies and volumetric capacities, both of which have been difficult to achieve with conventional sulfur cathodes. 1Elemental Sulfur Mediated Facile Synthesis of a Covalent Triazine Framework for High Performance Lithium-Sulfur Batteries, Angew. Chem. Int. Ed. , 2016, 55, 3106-3111 2Under review
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".