A Graphene "MnO<sub>2</sub>" Hybrid Supercapacitor Based on In Situ Electo-Deposition and Dissolution of "MnO<sub>2</sub>"
Bibliographic record
Abstract
The principle of feasibility of a hybrid super-capacitor, based on graphene and the electrochemical deposition and dissolution of "MnO2", is demonstrated. For this system, a composite graphene electrode is used as the capacitive electrode. Graphene is also used in the battery type electrode, where it serves as substrate for the in-situ electrochemical deposition and dissolution of "MnO2". The electrochemical deposition and dissolution reaction provides the bulk of the charge storable in the battery type electrode. The characteristics of the two electrodes are discussed showing that their respective potential windows of stabilities are compatible with the aqueous the electrolyte. Subsequently, two hybrid systems are assembled and subjected to long charge/discharge cycles. One assembly displays an energy density of 34 and 25 Wh kg-1 after the first and 5000th cycle, respectively.
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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".