Light-assisted melanin-based electrochemical energy storage: physicochemical aspects
Bibliographic record
Abstract
Abstract The integration of the solar energy conversion and electrochemical energy storage functions is critical for limiting the anthropogenic effects on climate change and preventing possible energy shortages related to the increase of the world population. Electrochemical technologies (batteries and supercapacitors) have been investigated to store the energy generated from the Sun, an intermittent source. Abundant, low-cost, non-toxic, potentially biodegradable organic molecular materials, extracted from natural sources, are ideal candidates for applications in sustainable electrochemical energy storage technologies as opposed to those currently used, often based on costly, toxic and scarce elements, thus potentially triggering geopolitical issues. Among natural materials, eumelanin, a ubiquitous biopigment in flora and fauna, stands out for its redox-activity, UV–vis absorption, chemical and thermal stability. This topical review suggests eumelanin as promising sustainable multifunctional material to enhance the electrochemical energy storage properties of organic materials by solar light. The vision behind this research is to pave a way towards the discovery of organic materials and devices that can seamlessly integrate solar energy conversion and storage within the same multifunctional material.
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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".