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Record W4367173372 · doi:10.1117/12.2644519

Fabrication of optical hydrophobic metasurfaces resembling the surface structure of Peruvian lily flower petals

2023· article· en· W4367173372 on OpenAlexaff
Mahyar Mazloumi, Yazan Bdour, Carlos Escobedo, Ribal Georges Sabat

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicLiquid Crystal Research Advancements
Canadian institutionsQueen's UniversityRoyal Military College of Canada
Fundersnot available
KeywordsMaterials scienceLaserAzobenzeneOpticsInterferometryWavelengthSurface finishHolographyOptical microscopeOptoelectronicsInterference (communication)Structural colorationMicroscopySurface roughnessPolymerPhysicsScanning electron microscope

Abstract

fetched live from OpenAlex

Optical metasurfaces are inscribed in surface relief on azobenzene molecular glass thin films following double and triple sequential exposures to laser interference patterns with very close periodicities, resulting in two-fold and three-fold hierarchical Moiré gratings respectively. These metasurfaces formed due to the unique photomechanical effect in azobenzene materials, in which molecules migrate from zones of high to low laser irradiance. The laser interference patterns were obtained using a Lloyd mirror interferometer and a continuous wave laser having a wavelength of 532 nm and an irradiance of 200 mW/cm2. The resulting optical metasurfaces, which resembled surface features of a Peruvian lily flower petal, were characterized using atomic force microscopy, optical microscopy and surface profilometry techniques. It was found that the highly-customizable surface characteristics of the resulting metasurfaces can significantly alter their hydrophobicity.

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.035
GPT teacher head0.324
Teacher spread0.289 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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