La2O3 Doped Graphitic Porous Carbon Derived from La(III) Ion Chelated Chitosan for High Performance Supercapacitor
Bibliographic record
Abstract
Biopolymers are excellent precursors to prepare porous carbon owing to their abundant resources, low cost, and unique properties. In this study, a La 2 O 3 doped graphitic porous carbon (La 2 O 3 /Chit-C) was prepared using La(III) ions chelated chitosan as starting materials. The prepared nanocomposite exhibited excellent electrochemical performance, which is suitable for the design of supercapacitor. It demonstrated a capacitance of 464.8 F g −1 at a current density of 1 A g −1 , which is higher than most of chitosan derived carbon materials. Furthermore, the nanocomposite showed good high-rate discharge capability and stability, demonstrating a potential application for electrochemical 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".