Advances in New Matter Properties and Applications of Hybrid Graphene-Based Metamaterials
Bibliographic record
Abstract
: Graphene as an organic material has attracted special attention due to its electronic and conductive properties. Moreover, its highly conjugated chemical structures and relatively easy modification have allowed varied design and control of targeted properties and applications. In addition, this nanomaterial with pseudo-electromagnetic fields has led to the emergence of photonics, electronics and quantum interactions with their surroundings, generating new properties of materials. This short review aims at discussing many of these studies of new materials based on graphene for light and electronic interactions, conductions and new modes of nonclassical light generation. These new materials and metamaterials are being developed. For this reason, some representative examples from research with potential applications have been shown and discussed, in addition to their incorporation in real advanced devices and miniaturized instrumentation. Accordingly, this special issue entitled “Design and Synthesis of Hybrid Graphene-based Metamaterials” is intended to review the state-of-the-art in this multidisciplinary field.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".