Bibliographic record
Abstract
In pseudo-capacitors the energy storage process is due to fast, reversible faradic processes. For their higher specific capacitance with respect to conventional electrical double-layer capacitors that make use of high surface area carbons, these devices are among the most promising to provide high energy density and power necessary for modern and future applications. But the era of searching only for the best performance leaving environmental concerns is in the past: and now we have the moral obligation and responsibility of making every new technology evolving into sustainable and eco-friendly alternatives. Our group has achieved binder-free eco-friendly organic supercapacitors on different substrates such as carbon paper and polyethylene terephthalate (PET), using drop casting and microfabrication techniques, obtaining a specific capacitance of 167 Fg-1 on carbon paper, and 10.8 Fg-1 on flexible PET [1]. In this work we optimize the microfabricated structure of flexible melanin-based electrodes by modifying the geometric architecture, maximizing the electrode/electrolyte interaction. Specifically, we report about the energy storage of flexible melanin-based micro-capacitors in aqueous electrolytes (NH4CH3COO(aq)). References [1] Prajwal Kumar, Eduardo Di Mauro, Shiming Zhang, Alessandro Pezzella, Francesca Soavi, Clara Santato, Fabio Cicoira."Melanin-based flexible supercapacitors". J. Mater. Chem. C, 2016, 4, 9516.
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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".