Discrete Mode Laser Diodes: Design Equations and Applications in Nonlinear Optics
Bibliographic record
Abstract
Frequency selective structures, in particular gratings, are useful to create single-mode laser diodes, however they introduce losses which can be detrimental for many applications. A theoretical framework to design Discrete Mode Laser Diodes (DMLDs) using gratings with the lowest loss possible while still achieving single-mode operation, is developed. A version of DMLDs using surface gratings is then designed and fabricated in Bragg reflection lasers (BRLs), which support second order nonlinear conversion within the laser cavity. These DMLDs show single mode operation with$>$40 dB SMSR, and 0.22 nm/mA, and 0.49 nm/$^\circ$C current and temperature tunability. Difference frequency generation with 59.8%W$^{-1}$cm$^{-2}$efficiency is then performed to demonstrate the ability of the DMLD to support parametric optical processes within diode laser cavities.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".