Effects of Mismatch on IC-Equipped Programmable Metasurfaces
Bibliographic record
Abstract
Existing programmable metasurfaces (PMSFs) need significant steps for their commercialization. Integrated circuits (ICs) offer the potential to increase the functionality of PMSFs while reducing their cost and energy consumption. This approach requires a large number of ICs and entails significant challenges for the PMSF development. Statistical models of radio frequency (RF) and microwave (MW) components are not provided by the majority of commercially available semiconductor technologies, so their effects are usually tackled in an empirical manner. These RF and MW components are used for the loading of each unit cell within the PMSF, and the effects of component’s mismatch cascades to the scattered far field of the PMSF. A study of the effects of mismatch on the scattered far field of an IC-equipped PMSF is presented. A correlation between the degradation of the scattered far field and the components’ standard deviation is shown.
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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) | 0.000 | 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".