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Record W2061749706 · doi:10.1117/12.567083

Fabrication and optimization of one-to-two and two-to-two optical directional couplers in glass using a femtosecond laser

2004· article· en· W2061749706 on OpenAlexaff
Jiaren Liu, Zhiyi Zhang, Shoude Chang, Costel Flueraru, Chander P. Grover

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2004
Typearticle
Languageen
FieldEngineering
TopicLaser Material Processing Techniques
Canadian institutionsCanadian Standards Association
Fundersnot available
KeywordsFemtosecondFabricationLaserMaterials scienceOpticsOptoelectronicsPower dividers and directional couplersOptical glassPhysics

Abstract

fetched live from OpenAlex

1x2 and 2x2 optical waveguide directional couplers were fabricated in a silica glass sample by a femtosecond laser and characterized at the wavelength of 1.5 μm. The coupling coefficient was determined by systematically writing series of 1x2 directional couplers. After the process and design optimization, the two types of waveguide directional couplers successfully achieved the coupling ratio of about 3.0 dB with the average IL and PDL 6.55 ± 0.25 dB and 0.28 ± 0.12 dB respectively. The multi-scan writing technique with inter-scan shifts was used to reshape the magnitude and profile of the refractive index change so that excess loss of S bends and the PDL for such couplers were substantially reduced.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.342
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.013
GPT teacher head0.240
Teacher spread0.228 · 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 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

Citations2
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIESame topicLaser Material Processing TechniquesFrench-language works237,207