Optical nonlinearities in silicon under extreme intensities in the optical communication (C-band) spectrum
Bibliographic record
Abstract
In this work, we explore the manifestation of optical nonlinearities in silicon, given illumination by radiation with wavelengths in the optical communication (C-band) spectrum, near 1550 nm, and extreme intensities, spanning 100-1000 GW/cm2. We photoexcite a silicon photodiode with femtosecond-duration 1550-nm laser pulses and observe the resulting optical autocorrelations as a function of the peak pulse intensity. Such measurements in silicon reveal (i) negligible single-photon absorption, suggesting that there are few defect (trap) states in the bandgap that can assist below-bandgap photoexcitation, (ii) significant two-photon absorption at intensities above 100 GW/cm2, (iii) growing three-photon absorption at intensities rising above a threshold of 300 GW/cm2, and (iv) increasing saturation at intensities rising above a threshold of 650 GW/cm2. We attribute this saturation to the extremely high density of charge carriers brought about by three-photon absorption—as this depletes the available electrons in the valence band and the available states in the conduction band. We hope that this work will be a foundation for the future integration of telecom (C-band) technologies and silicon nanostructures.
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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) | 0.002 | 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".