A Two-Step Process for Reduced Graphene Oxide Films With Work Function Tunability
Bibliographic record
Abstract
Reduced graphene oxide (rGO) is an attractive material for variety of optoelectronic applications. It has a high potential for mass and cost-effective production. This work presents the synthesis of rGO by two-step reduction to reduce graphene oxide (GO) produced from inexpensive graphite starting material. Uniform rGO films with thickness of about 20 nm are produced from a rather defective GO starting material and characterized for structural, optical and electrical properties. The film transparency is close to 90% over a broad range of wavelengths. The work function of the rGO films analyzed using ultraviolet photoelectron spectroscopy ranges from 3.6 to 5.1 eV, revealing significant tunability depending on the adopted reduction process. These properties underline the potential of rGO for electrodes with carrier-selectivity.
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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 | 0.001 |
| Science and technology studies | 0.001 | 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".