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Record W4408602459 · doi:10.1117/12.3041211

Transmissive metasurface quarter-wave plates for few-femtosecond pulses at deep ultraviolet wavelengths

2025· article· en· W4408602459 on OpenAlexaboutno aff
Shatha Kaassamani, Kyle Chapkin, Dhruv Fomra, Junyeob Song, Amit Agrawal, Henri J. Lezec, Wenqi Zhu

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicLaser-Matter Interactions and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsFemtosecondOpticsWavelengthUltravioletQuarter (Canadian coin)Materials scienceOptoelectronicsPhysicsLaser

Abstract

fetched live from OpenAlex

We design, fabricate, and measure transmissive dielectric metasurfaces made of high-aspect ratio, wide band-gap oxide materials to achieve circularly polarized laser beams at deep ultraviolet wavelengths. We optimize the design towards a broadband quarter-wave plate for ultrafast (few femtosecond) pulses while being resistant to high-power lasers. Our metasurfaces are designed to be on thin silicon nitride membranes to minimize group delay dispersion from the substrate. We also measure the damage threshold of our fabricated metasurfaces to evaluate their efficacy and robustness to high intense lasers. Our work could pave the way towards further development of transmissive DUV optical elements with customized functionalities and their integration into more complex systems for spatiotemporal shaping of DUV pulses.

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 score0.004

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 communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.010
GPT teacher head0.266
Teacher spread0.256 · 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
Published2025
Admission routes1
Has abstractyes

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