MétaCan
Menu
Back to cohort
Record W2973136910

Millimeter-wave Huygens’ Metasurfaces based on All-dielectric Resonators for Antenna Beam-forming

2019· article· en· W2973136910 on OpenAlexaff
Shulabh Gupta, Takashi Tomura, S. Sakurai, Daniel J. King, Jiro Hirokawa

Bibliographic record

VenueTokyo Tech Research Repository (Tokyo Institute of Technology) · 2019
Typearticle
Languageen
FieldMaterials Science
TopicMetamaterials and Metasurfaces Applications
Canadian institutionsCarleton University
Fundersnot available
KeywordsAntenna (radio)OpticsResonatorPhysicsRadiation patternDielectricDielectric resonator antennaSlot antennaExtremely high frequencyBeam (structure)Near and far fieldDirectional antennaAcousticsOptoelectronicsComputer scienceTelecommunications
DOInot available

Abstract

fetched live from OpenAlex

A novel mm-wave all-dielectric structure based on Huygens’ metasurfaces is proposed to engineer the radiation fields of a 2D slot array antenna, and demonstrated using full-wave simulations. The proposed metasurface consists of elliptically-shaped resonators whose geometrical dimensions can be engineered to enable rich wave transformation capabilities. They are placed on top of the slot antenna array in its near-field zone and designed to transform the intrinsic uniform field distribution of the antenna to desired radiation patterns. A beam-tilting example has been presented to demonstrate the proposed principle.

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: none
Teacher disagreement score0.001
Threshold uncertainty score0.003

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 head0.067
GPT teacher head0.328
Teacher spread0.260 · 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

Citations2
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueTokyo Tech Research Repository (Tokyo Institute of Technology)Same topicMetamaterials and Metasurfaces ApplicationsFrench-language works237,207