Modelling of THz Band Graphene Based Reconfigurable Intelligent Surfaces with High Directivity
Bibliographic record
Abstract
Terahertz (THz) communication, which can provide a significant benefit to the developing communication technologies today, comes along with many problems. The most important of these problems are the high path loss and the direct line of sight (LOS) requirement in most of the communication schemes. Reconfigurable intelligent surface (RIS) designs, which can be brought as a solution to the line of sight requirement have been proposed in this research. The unit cells forming these surfaces cannot be designed using metal materials due to the characteristics of electromagnetic waves with THz frequency. Graphene material, according to its controllable surface impedance properties, provides both sufficient reflection conditions and can be used to create units with different reflective phase values with varying impedance values to create the RIS structure. In this study, a certain reflection phase range was obtained on a designed RIS unit cell and RIS structures that can direct the incoming plane wave to various angles using this unit were designed and simulated in CST Microwave Studio 2019 program.
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".