An organic trimer molecule with carbon black as an active material for supercapacitor applications
Bibliographic record
Abstract
Quinone-based organic molecules show promise as electrode active materials for supercapacitor applications due to their reversible redox activity, high theoretical capacitances, low cost, nontoxicity, and renewability. The use of quinone containing molecules in supercapacitor applications faces challenges due to their low electrical conductivity and their high solubility in aqueous electrolytes that results in low cycling stability. This work addresses these limitations by proposing a novel quinone-composed material, N,N′-bis(2-anthra-quinone)]-perylene-3,4,9,10- tetracarboxydiimide (PDI-DAQ), as an organic molecule electrode for supercapacitors. PDI-DAQ was composited with a low-cost carbon substrate, Ketjenblack carbon black (CB), and demonstrated a specific capacitance of up to 318.6 F g −1 at 5 mV s −1 in 1 M H 2 SO 4 electrolyte at an optimized mass ratio of 1:1 (PDI-DAQ to CB). This material had a capacity retention of 61.2 % after 10,000 cycles at 100 mV s −1 . Ultimately, PDI-DAQ as a supercapacitor material demonstrates the performance advantages of covalently bonding redox-active quinone molecules and preparing a PDI-DAQ/CB OME through a simple preparation process.
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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".