Ceramic-based metamaterial for THz sensing applications
Bibliographic record
Abstract
We propose and theoretically demonstrate the existence of Spoof surface waves in the terahertz spectral range (0.1-1 THz). Those surface waves supported by a corrugated surface with subwavelength patterning, in opposition of the Spoof Plasmons, are made of non-conductive lossless materials with positive permittivity. Particularly, we focus on the theoretical study and engineering of an infinite corrugated surface with 1D array of grooves made of lossless high permittivity material able to support Spoof Surface waves in the terahertz spectral range. An analytic derivation of the dispersion relation is presented in the case of deeply subwavelength period of a corrugated structure using impedance boundary conditions at the interfaces and are verified numerically. In addition, various optical properties such as the modal size and the propagation distances of those surface waves are studied, where we theoretically show that the studied ideal metamaterial can be engineered to support well defined surface waves with subwavelength modal size in the spectral range 0.1-1 THz, thus could lead to new revolution in multiple domains such as terahertz sensing. Finally, the possibility of an ideal amplitude-bases sensor made of the corrugated surface made of high positive permittivity material such as TiO2 ceramic utilizing Spoof surface waves to interrogate various analytes is discussed.
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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 | 0.000 | 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) | 0.001 | 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 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".