Semi-analytical design methodology for large scale metal–insulator–metal waveguide networks
Why this work is in the frame
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Bibliographic record
Abstract
A semi-analytical approach for efficient modelling of large scale networks of plasmonic metal–insulator–metal waveguides is proposed and its efficacy is assessed. A simple model for a wide range of waveguide junction configurations that can be obtained using waveguide impedance is utilized. This efficient and accurate model enables full analysis of a complete network of plasmonic waveguides without the need for any full-wave analysis. The proposed approach is computationally efficient and enables rapid design and optimization cycles using these networks. The results obtained using our approach match those obtained with finite difference time domain simulations. Several example structures have been analyzed using this approach, where their performance has been optimized through the multivariable optimization afforded by the technique reported here.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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