Nitrogen, oxygen and sulfur co-doped hierarchical porous carbon toward high performance supercapacitor by dual activation strategy
Bibliographic record
Abstract
Pore structure modulation and heteroatom doping are two very important strategies for designing high performance porous carbon materials. Herein, we prepare nitrogen, oxygen and sulfur co-doped hierarchical porous carbon electrode by a scalable ZnO-KOH dual activation treatment of CMC-LS-urea aerogel (CMC: sodium carboxymethyl cellulose; LS: sodium lignosulfonate). The achieved porous carbon material possesses a high specific surface area (2898.2 m 2 g −1 ), hierarchical porous structure (V meso = 0.43 cm 3 g −1 , V micro = 0.93 cm 3 g −1 ) and rich heteroatom contents (O: 17.4 at%; N: 5.96 at% and S: 0.59 at%). The optimal sample demonstrates an exceptional specific capacitance of 342.5 F g −1 at the current density of 0.1 A g −1 and a high capacitance retention rate of 93.7 % after 30000 cycles in 6 M KOH electrolyte. Furthermore, the assembled symmetric capacitors exhibit a high energy density of 33 Wh kg −1 in 1 M TEABF 4 /AN organic electrolyte. This method also can be applied to other natural polymers precursors system for highly efficient and environmentally friendly energy storage.
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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 | 0.001 | 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".