Ionic, Organic and Strong Electrolytes with Graphene on Metal Oxide Composite Electrodes for Supercapacitors
Bibliographic record
Abstract
This paper reports a scalable prototype supercapacitor using metal oxides and graphene oxide and an ionic liquid electrolyte. Our novel approach to combining pseudocapacitance and electric double layer capacitance in a tri-layered composite, promises to increase the energy density of the device, without sacrificing the high power density attributed to it. Solutions of KOH, Acetonitrile and 1-Ethyl-3-methylimidazolium tetrafluoroborate (EMIm-BF4) are used in manufacturing our devices, with more focus on the ionic liquid. These room temperature molten salts are predicted to function better as an electrolyte under extremely low temperatures. This paper presents the scalable synthesis of composites of reduced graphene oxide on MnO2 nanowires and Co3O4 nanorods. We assemble the devices with different electrolytes and employ a modified electrophoretic deposition process which produces uniform layers of rGO on semiconductors, metals and flexible substrates.
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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) | 0.001 | 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 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".