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Record W4394620670 · doi:10.1063/5.0189811

Controlled visible ultrafast lasers based on polarization-dependent photonic devices

2024· article· en· W4394620670 on OpenAlexfundno aff
Zixin Yang, Qiang Yu, Qi Yang, Haotian Gao, Xiuyang Pang, Haowei Yu, Xingang Hou, Yuqian Zu, Zhuoyan Xie, Xiaoxin Yang, Wei Su, Jinyong Leng, Jian Wu, Jiang Zongfu, Pu Zhou

Bibliographic record

VenueApplied Physics Letters · 2024
Typearticle
Languageen
FieldEngineering
TopicPhotonic and Optical Devices
Canadian institutionsnot available
FundersInstitute of Nutrition, Metabolism and DiabetesQilu University of TechnologyShandong Academy of SciencesNatural Science Foundation of Shandong ProvinceNational Natural Science Foundation of China
KeywordsUltrashort pulseOptoelectronicsPhotonicsLaserMaterials sciencePolarization (electrochemistry)Semiconductor laser theoryOpticsPhysicsSemiconductorChemistry

Abstract

fetched live from OpenAlex

The realization of controlled modulation of ultrashort pulses in the all-solid-state visible ultrafast lasers is a challenge, limited by the development of advanced optical modulation devices. Here, we reported a Ta2PdSe6 photonic device-based controlled visible ultrafast laser that exploits the polarization-dependent optical response of the Ta2PdSe6 photonic device to modulate the pulse width. Ultrashort pulse widths of 33.3 ps and 36.6 ps can be achieved under the horizontal and vertical polarization emission, respectively. This study presents polarization-dependent photonic devices for solid-state lasers, which might lead to the creation of controlled modulation in visible ultrafast lasers.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.005
GPT teacher head0.199
Teacher spread0.194 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations6
Published2024
Admission routes1
Has abstractyes

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