Surface plasmon effects induced by uncollimated emission of semiconductor microstructures
Bibliographic record
Abstract
We investigate the functioning of an innovative monolithically integrated surface plasmon resonance (SPR) device comprising a metal coated SiO2 layer deposited atop a photoluminescence emitting quantum well (QW) wafer. The device takes advantage of the uncollimated and incoherent emission of QW microstructure. This presents a non-trivial problem in our goal to describe quantitatively the functioning of such a device. We discuss the results of our calculations based on a rigorous coupled-wave analysis algorithm and tensorial approach aimed at the full description of surface plasmons (SPs) coupling in QW semiconductor-based SPR architectures designed for biosensing applications. The results indicate that the injected in-plane wavevectors increase the SPs coupling efficiency up to 103 times in comparison to indirect SPs injection. We discuss the general idea of an experimental setup required for collecting the 3D measurement of SPR dispersion relations hω(kx,ky), potentially enabling a much richer picture of surficial biochemical events. Preliminary results indicate that the proposed methodology produces simultaneously the equivalent of 105 to 108 conventional SPR scans achievable with commercial 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 | 0.001 |
| 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".