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Record W4408384339 · doi:10.1002/lpor.202402094

Integrated Ultra‐Wideband Tunable Fourier Domain Mode‐Locked Optoelectronic Oscillator

2025· article· en· W4408384339 on OpenAlexfundno aff
Zhen Han, Liheng Wang, Yong Zheng, Pu Zhang, Yongheng Jiang, Xudong Zhou, Mingrui Yuan, Mei Xian Low, Aditya Dubey, Thach G. Nguyen, Andreas Boes, Qinfen Hao, Huifu Xiao, Guanghui Ren, Arnan Mitchell, Yonghui Tian

Bibliographic record

VenueLaser & Photonics Review · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Fiber Laser Technologies
Canadian institutionsnot available
FundersAustralian Research CouncilNational Natural Science Foundation of ChinaRMIT UniversityOntario Ministry of Natural Resources and ForestryNatural Science Foundation of Gansu ProvinceAustralian National Fabrication Facility
KeywordsWidebandOptoelectronicsFourier domainMaterials scienceFourier transformMode (computer interface)OpticsPhysicsComputer science

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.641
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.006
GPT teacher head0.270
Teacher spread0.264 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations7
Published2025
Admission routes1
Has abstractyes

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