Nonlinear optical tuning of a two-dimensional silicon photonic crystal
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Bibliographic record
Abstract
We use the real (Kerr) and imaginary (two photon absorption) parts of a third order optical nonlinearity to tune the long $(1.6\phantom{\rule{0.3em}{0ex}}\ensuremath{\mu}\mathrm{m})$ and short wavelength $(1.3\phantom{\rule{0.3em}{0ex}}\ensuremath{\mu}\mathrm{m})$ band edges of a stop gap in a two-dimensional silicon photonic crystal. From pump-probe reflectivity experiments using $130\phantom{\rule{0.3em}{0ex}}\mathrm{fs}$ pulses, we observe that a $2\phantom{\rule{0.3em}{0ex}}\ensuremath{\mu}\mathrm{m}$ pulse induces optical tuning of the $1.3\phantom{\rule{0.3em}{0ex}}\ensuremath{\mu}\mathrm{m}$ edge via the Kerr effect whereas a $1.76\phantom{\rule{0.3em}{0ex}}\ensuremath{\mu}\mathrm{m}$ pulse induces tuning of the $1.6\phantom{\rule{0.3em}{0ex}}\ensuremath{\mu}\mathrm{m}$ band edge via both Kerr and Drude effects with the latter related to two-photon induced generation of free carriers with a lifetime of $\ensuremath{\sim}900\phantom{\rule{0.3em}{0ex}}\mathrm{ps}$.
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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 | 0.000 | 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