Integrated Ultra‐Wideband Tunable Fourier Domain Mode‐Locked Optoelectronic Oscillator
Bibliographic record
Abstract
Abstract Fourier domain mode‐locked optoelectronic oscillator (FDML OEO) is a crucial component for the upcoming sixth‐generation (6G) communication era, as it can break the limitation of mode building time in the conventional OEO and generate high‐quality frequency‐tunable microwave signals or waveform such as linearly chirped microwave waveform (LCMW) for millimeter‐wave applications thanks to its ultra‐low phase noise. However, most FDML OEOs reported thus far are discrete and their operating bandwidth are limited, which makes it difficult to meet the real applications’ requirements. Here, we propose and demonstrate the first integrated tunable FDML OEO with the tunable frequency range of 342.5 GHz in the lithium niobate on insulator (LNOI) photonic integrated circuit platform. As examples, we demonstrate the generation of LCMW, quadratic‐chirp signal, and triangle waveform with the center frequency covering millimeter‐wave band using the proposed FDML OEO. The FDML OEO provides a promising solution for the compact and effective signal generation solution, which breaks the bandwidth limitations and facilitates the realization of extensive applications in the field of radio frequency (RF), including high‐precision microwave photonic radar, next‐generation wireless communication, and unmanned autonomous driving systems.
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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) | 0.000 | 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 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".