Untra‐high pseudocapacitance enhanced anode of N, P dual‐doped carbon nanosheet derived from biomass toward high performance sodium ion battery
Bibliographic record
Abstract
Abstract In order to improve the cycling capability and rate performance of carbon anode material for sodium ion battery, an easy, green, and scalable thermal pyrolysis method is exploited to synthesize the nitrogen, phosphorus dual‐doped carbon nanosheets from abundant biomass of peach kernel shell and diammonium hydrogen phosphate. This biomass carbon material demonstrates a super‐thin nanosheet microstructure, and its surface area reaches about 2262 m2 g–1. This carbon nanosheet electrode exhibits a large initial coulombic efficiency of 90%, superior rate capability, and high sodium ion storage capacity. It delivers a high Na+ storage capacity of about 332 mAh g–1 at a current density of 100 mA g–1 after 200 cycles. Even at a high current density of 4 A g–1, a good rate performance of 270 mAh g–1 is also achieved. The ultra‐high pseudocapacitance contribution over 90% is the major reason for the excellent Na+ storage performance of this carbon nanosheet electrode. This nitrogen, phosphorus doped biomass carbon anode material with an excellent storage capacity of sodium ion, makes it an appealing candidate for cheap and high‐performance anode materials for sodium ion batteries.
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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".