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Record W4311690257 · doi:10.32920/21740765.v1

Generation of Radially Polarized Beam for Laser Micromachining

2022· preprint· en· W4311690257 on OpenAlexaff
Krishnan Venkatakrishnan, Bo Tan

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicLaser Material Processing Techniques
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsOpticsMaterials scienceBirefringenceBeam (structure)LaserSurface micromachiningMachiningRadial polarizationLaser beamsOptoelectronicsLaser beam qualityPhysicsFabrication

Abstract

fetched live from OpenAlex

<p>A novel means of generating radially polarized light is reported in this paper. A birefringent plate was placed in a divergent or divergent portion of the laser beam for polarisation conversation. The influence of birefringent plate thickness on the purity and efficiency of radial beam conversion is studied qualitatively. This technique is robust, simple and cost effective for radial polarisation conversion, and involvs only minimal optical components compared to alternative methods. Comparative analysis between linearly and radially polarized beams at different experimental condition is reported. Radially polarized beam increases the machining efficiency by 40-100% and reduces the focused spot size by more than 30%. Radially polarized beam finds wide application in semiconductor manufacturing. Application of radially polarized light for interconnect via drilling is demonstrated.</p>

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 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 score0.198
Threshold uncertainty score0.824

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 communication0.0000.000
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 head0.040
GPT teacher head0.271
Teacher spread0.232 · 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.

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
Published2022
Admission routes1
Has abstractyes

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