Fabrication of Reduced Graphene Oxide-Cellulose Nanofibers Based Hybrid Film with Good Hydrophilicity and Conductivity as Electrodes of Supercapacitor
Bibliographic record
Abstract
Abstract In this research, a kind of non-carbonized reduced graphene oxide (RGO)-cellulose nanofibers (CNF) film is constructed by a combination of filtration and chemical reduction. In the hybrid, RGO enhances conductivity of CNF, and CNF as an idea spacer not only prevents stacking of RGO but also gives the film good mechanical properties including mechanical strength and flexibility. The synergistic effect of both endows the film with good electrochemical storage performance and outstanding mechanical properties. The hybrid film can be directly assembled into a symmetrical supercapacitor that shows an outstanding cycle stability, excellent rate performance, good mechanical strength and flexibility. Moreover, the film presents a high specific capacitance of 120 mF cm− 2, energy density of 536 µWh cm− 2 (32 Wh kg− 1) and power density of 193 mW cm− 2 (53 kW kg− 1). Additionally, the film can be used as a substrate to graft other components.
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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".