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Record W4365137958 · doi:10.1088/1361-6439/accc3b

Visually clear diffusive light panel with embedded semi-reflective rough-surface planar outcouplers

2023· article· en· W4365137958 on OpenAlexafffund
Hongbae Park, Boris Stoeber

Bibliographic record

VenueJournal of Micromechanics and Microengineering · 2023
Typearticle
Languageen
FieldComputer Science
TopicInteractive and Immersive Displays
Canadian institutionsUniversity of British Columbia
FundersCanadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsOpticsMaterials sciencePlanarRayLight scatteringFlat panel displayReflection (computer programming)Surface finishTotal internal reflectionPhotomaskSurface roughnessLight intensityDaylightingOptoelectronicsScatteringComputer scienceResistPhysicsLayer (electronics)Composite materialComputer graphics (images)

Abstract

fetched live from OpenAlex

Abstract We present a visually transparent light-diffusing panel in the form of a light guide, which has semi-reflective, thin-film blades buried within it acting as diffusive outcouplers. The semi-reflective blades can be tilted relative to the length of the light guide and are textured to partially scatter the light incident upon them in the reflection domain, while transmitting the rest. We show that the texturization of the outcouplers can be achieved following a simple molding process using a mold with well-defined roughness regions to subsequently create light-scattering surfaces. The mold is either based on frosted glass or on a photolithographic process using a polymer photomask. We demonstrate with a prototype that the view through the textured outcouplers is visually clear. Also, we demonstrate that by varying the angular difference between the incidence of the propagating light rays and the outcoupler angle, the ratio of the amount of diffused light emanating from the two surfaces of the light guide can be biased from ∼1:2 to ∼1:20. The proposed device can be used as a transparent light source that provides an occlusion-free and undistorted see-through view.

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 score0.231
Threshold uncertainty score0.782

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 head0.011
GPT teacher head0.228
Teacher spread0.217 · 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

Citations1
Published2023
Admission routes2
Has abstractyes

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