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Record W1984781841 · doi:10.1002/mop.24036

Technique for reducing surface wave at an air/left‐handed medium (LHM) interface or excitation of the forward wave in an LHM

2008· article· en· W1984781841 on OpenAlexafffund
Halim Boutayeb, Ke Wu, Kouroch Mahdjoubi

Bibliographic record

VenueMicrowave and Optical Technology Letters · 2008
Typearticle
Languageen
FieldMaterials Science
TopicMetamaterials and Metasurfaces Applications
Canadian institutionsPolytechnique Montréal
FundersFonds Québécois de la Recherche sur la Nature et les Technologies
KeywordsLeft handedLossless compressionSurface waveResistorMicrowaveOpticsPhysicsInterface (matter)ExcitationMetamaterialEngineeringElectrical engineeringComputer science

Abstract

fetched live from OpenAlex

Abstract In this article, we analyze the illumination by an electromagnetic wave of an air/left‐handed medium (LHM) interface. It is shown that by placing a periodic structure of resistors near the LHM it is possible to suppress or to reduce the surface wave that is present at the interface. For our demonstration, we consider a semi‐infinite lossless left‐handed medium having the same constitutive parameters as those of air but with opposite signs. Numerical results, obtained by using a full‐wave time domain technique, are presented to validate our approach and the proposed scheme. This work can extend the potential applications of left‐handed materials, because it shows that it is possible to use LHM slabs having large width. In addition, this work shows that it is possible to excite the forward wave of an LHM instead of the backward wave. © 2008 Wiley Periodicals, Inc. Microwave Opt Technol Lett 51: 280–284, 2009; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.24036

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)0.001
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 score0.071
Threshold uncertainty score0.625

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 studies0.0000.001
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 head0.037
GPT teacher head0.277
Teacher spread0.240 · 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

Citations2
Published2008
Admission routes2
Has abstractyes

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