Tunable ultrasensitive terahertz sensing based on surface plasmon polariton of doped monolayer graphene
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
We reported the surface plasmon resonance (SPR) on doped monolayer graphene (MLG) for terahertz (THz) sensing of refractive index of testing samples using a prism‐coupling attenuated total reflection configuration. The theoretical detection range and sensitivity of the THz plasmonic sensor were investigated. The sensor performance in terms of variation of detection accuracy with different refractive index was explored. It was demonstrated that the Fermi level energy of MLG and also the gap distance between the prism base and the MLG had great effects on the performance of THz sensing. The gap distance not only caused the coupling resonance frequency shift in the reflection spectrum, but also affected the full width at half maxima (FWHM) of the SPR curve. The incident angle of THz radiation was also the key impact factor of the detection accuracy of the sensor. The effective SPR frequency could be tuned by controlling the incident angle or the Fermi level energy. The results revealed the maximum sensitivity of the THz plasmonic sensor up to 6.65 THz RIU −1 with a figure of merit (FOM) of 1187 RIU −1 for Fermi level energy ranges from 0.4 to 1.2 eV, making the sensor potential for ultra‐sensitive SPR sensing in the terahertz regime.
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 | 0.000 | 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 it