Multi‐Functional Metasurface: Visibly and RF Transparent, NIR Control and Low Thermal Emissivity
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Rapid advances in metamaterial technology are enabling the engineering of wave–matter interactions heretofore not realized and functionalities with potentially far‐reaching implications for major challenges in the fields of energy conservation and radio frequency (RF) communication. A visibly and RF transparent composite metasurface utilizing dielectric–metal spectrally selective coatings with high near‐infrared control and low thermal emissivity is proposed, thus achieving a multi‐functional metasurface capable of enhancing fifth‐generation (5G) communication efficiency and exhibiting energy conservation features. The proposed meta‐glass yields 92% peak RF transmission at 30 GHz which corresponds to 20% and 90% enhancement when compared to plain glass and low‐emissive glass substrates. This meta‐glass possesses 86% peak optical transparency at λ = 550 nm, >60% near‐infrared reflection, and >80% mid‐infrared reflection which corresponds to ≈0.2 thermal emissivity. The proposed metasurface design is highly flexible and can be tuned to operate over different frequency ranges owing to its frequency scalability. This study provides a better alternative using earth‐abundant materials compared to low‐emissive glass based on indium tin oxide while boosting the efficiency of 5G communication amenable to window systems demanding simultaneous functionalities for emergent smart/energy‐efficient buildings/cities and autonomous transportation applications.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it