Single Nanoflake Hexagonal Boron Nitride Harmonic Generation with Ultralow Pump Power
Bibliographic record
Abstract
The strong nonlinear optical response of two-dimensional materials has applications in bioimaging and integrated optical information processing; however, past experiments were on diffraction limited samples or required intense pulsed lasers, which is a detriment to potential applications due to cost, power and complexity. Here we show that second harmonic generation can be achieved from single subwavelength two-dimensional material nanoflakes smaller than the diffraction limit using a plasmonic optical tweezer with a low-power (down to 3 mW) laser diode operating in continuous-wave mode. A double nanohole plasmonic tweezer enhances the local field and the local density of optical states to allow for trapping and significant nonlinear generation at the nanoscale. Also, the fact that it is a two-dimensional material means that it can be positioned closer to the highest field regions, realizing 2 orders of magnitude higher power second harmonic generation than other nonlinear materials like lithium niobate. The ability to have simple high efficiency nonlinear generation at the nanoscale will benefit future nonlinear optics applications of these emerging materials.
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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) | 0.001 | 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".