Preparation of Porous Carbon for Supercapacitors by Carbonization Polymer Blend Technique
Bibliographic record
Abstract
Porous carbon electrode materials for use in supercapacitors were prepared by carbonization polymer blend method using phenolic resin as the precursor and polyethylene glycol(PEG) as the pyrolyzing polymer.The specific surface area and pore structure were measured by N2 absorption/desorption isotherm.The electrochemical performance of the porous carbon in 1 mol·L-1 Et4NBF4/PC were evaluated with galvanostatic charge/discharge,cyclic voltammetry(CV),and AC impedance spectroscopy,etc.The BET surface area of the porous carbon reaches 618 m2·g-1 and the mesopore ratio is 59.7%.The specific capacitance of porous carbon is 32 F·g-1,and the product also shows good rate and cycling performance.
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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".