Terahertz Photoconductive Emitter With Dielectric-Embedded High-Aspect-Ratio Plasmonic Grating for Operation with Low-Power Optical Pumps
Bibliographic record
Abstract
Here we report design, optimization and fabrication of a plasmon-assisted terahertz (THz) photoconductive antenna (PCA) for THz pulse generation at low-power optical pumps. The PCA design combines a high-aspect ratio dielectric-embedded plasmonic Au-grating placed into the photoconductive gap. Antenna structure, Si3N4-passivation of the photoconductor and the Al2O3-antireflection coating are used to further enhance antenna performance. Both the plasmon-assisted and conventional pCAs were fabricated for comparative analysis of their transient photocurrents, THz waveforms and THz power spectra. A superior performance of the plasmon-assisted PCA was confirmed. Thus, depending on the optical pump power, the transient photocurrent and the THz power spectrum were 101-102and 102-103times higher, respectively, for the plasmonic PCA. The highest THz power enhancement of 3×103was observed at low-power optical pumps of <; 1.0 mW. These results demonstrate a strong potential of the plasmonic PCA for operation with low-power lasers; thus, opening new opportunities for the development of portable and cost-effective THz spectrometers and imaging systems.
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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) | 0.000 | 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 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".