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Record W2950562737 · doi:10.1109/tap.2019.2922945

Augmented Huygens’ Metasurfaces Employing Baffles for Precise Control of Wave Transformations

2019· article· en· W2950562737 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIEEE Transactions on Antennas and Propagation · 2019
Typearticle
Languageen
FieldMaterials Science
TopicMetamaterials and Metasurfaces Applications
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsTopology (electrical circuits)Computer scienceTransformation (genetics)BaffleDegrees of freedom (physics and chemistry)PhysicsOpticsElectrical engineeringEngineering

Abstract

fetched live from OpenAlex

A new topology for Huygens' metasurfaces (HMSs) is proposed as a means for dramatically simplifying the design of metasurface-based devices. Traditionally, the constituent unit cells for such metasurfaces are designed and optimized with many assumptions such as local periodicity, normal incident rectilinearly propagating excitation, etc. For applications demanding precise wave transformation, it is necessary to further optimize all the cells collectively to compensate for the inaccuracies of these assumptions. For complex designs with many degrees of freedom, this can be extremely time-consuming. In this paper, we propose a new unit cell topology, which intrinsically enforces the aforementioned assumptions, enabling rapid construction of metasurfaces from a library of preoptimized cells without the need for any subsequent tuning. To illustrate the effectiveness of the proposed topology, several devices are designed and verified numerically. For practical demonstration, a wide-angle reflectionless refracting metasurface employing the proposed unit cells is fabricated and experimentally tested.

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.

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)0.001
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 score0.449
Threshold uncertainty score0.531

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.026
GPT teacher head0.252
Teacher spread0.225 · 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