Quasinormal mode theory and applications of light-matter interactions in nanoplasmonics
Bibliographic record
Abstract
We describe a quasi-normal mode (QNM) theory of light-matter interactions in nanoplasmonics. We first use a QNM expansion technique to obtain the photon Green function and compute the enhanced spontaneous emission rate from a quantum dot as a function of frequency; these QNM calculations show excellent agreement with full dipole finite-difference time-domain simulations and we also obtain a rigorous definition of the generalized effective mode volume for the localized surface plasmon mode. Using the examples of a single gold nanorod and a gold dimer of identical nanorods, we demonstrate why the Purcell factor is not the correct metric for describing enhancement spontaneous emission for dipole emitters away from the field antinode position, and we also show how the dimer structure can be used as an efficient single photon source. Exploiting a quantum master equation approach in combination with the QNM Green function theory, we shown examples of the Mollow triplet spectrum from a field-excited quantum dot in the vicinity of the gold nanorod and we discuss how to include Ohmic losses and quasistatic coupling in a fully analytic way. Finally, we show how to exploit the QNM theory to solve the “local field problem” for a finite-size photon emitter embedded inside a lossy metal nanorod.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".