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Record W2783134733 · doi:10.1109/lpt.2018.2793208

Femtosecond Laser Microfabricated Optofluidic Grating Refractometer

2018· article· en· W2783134733 on OpenAlexafffund
Daiying Zhang, Liqiu Men, Qiying Chen

Bibliographic record

VenueIEEE Photonics Technology Letters · 2018
Typearticle
Languageen
FieldEngineering
TopicPhotonic and Optical Devices
Canadian institutionsMemorial University of Newfoundland
FundersNatural Sciences and Engineering Research Council of CanadaMemorial University of NewfoundlandCanada Research ChairsCanada Foundation for Innovation
KeywordsMaterials scienceFemtosecondGratingOpticsRefractive indexLaserDiffraction gratingOptoelectronicsMicrochannelUltrasonic gratingRefractometerHolographic gratingPhotoresistBlazed gratingLayer (electronics)NanotechnologyPhysics

Abstract

fetched live from OpenAlex

A novel femtosecond laser microfabricated optofluidic grating is proposed and demonstrated in this letter, which realizes the measurement of refractive index of liquid. The diffraction grating is fabricated with an epoxy-based negative photoresist (SU-8) on glass substrate by femtosecond laser-induced two-photon polymerization and bonded with a polydimethylsiloxane microchannel, for which the transmission spectrum can be modulated by changing the refractive index of the liquid flowing in the microchannel. Experimental observation on the shift of the transmission peak wavelength indicates that the sensitivity of the diffraction grating is higher for a lower-order mode or a thicker grating, i.e., blue-shifted peak wavelength with a magnitude of 3.586 × 10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> μm per refractive index unit for the second-order mode of the grating with a thickness of 3.60 μm.

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 score0.029
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
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.007
GPT teacher head0.219
Teacher spread0.212 · 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
Published2018
Admission routes2
Has abstractyes

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