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Record W2025234354 · doi:10.1109/dt.2013.6566292

Increasing of microwave energy focusing effectiveness by using metamaterial structures

2013· article· en· W2025234354 on OpenAlexaff
Dagmar Faktorová, Katarína Isteníková

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicMetamaterials and Metasurfaces Applications
Canadian institutionsContinental (Canada)
Fundersnot available
KeywordsMetamaterialMicrowaveSpecific absorption rateAbsorption (acoustics)ResonatorSplit-ring resonatorElectromagnetic fieldGenerator (circuit theory)Electromagnetic radiationAcousticsField (mathematics)Materials scienceOpticsEnergy (signal processing)Computer scienceOptoelectronicsPhysicsTelecommunicationsPower (physics)

Abstract

fetched live from OpenAlex

In this paper is using numerical simulations investigated effect of different composition of layered biological structures in human arm model and microwave applicator modification on the absorption of electromagnetic energy and thus specific absorption rate (SAR). First part of this paper is focused on influence description of different width of human arm structures on electromagnetic field propagation. The second part of the article deals with a possibility of focusation increase in the same human arm model using unique artificial structures - metamaterials. The metamaterial structures based on the split ring resonator approach are used for optimization of microwave generator characteristic. The main field of the study is absorption of microwave-frequency field by means of simulations performed in CST Microwave Studio environment.

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 categoriesInsufficient payload (model declined to judge)
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 score0.019
Threshold uncertainty score0.999

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)0.0020.000

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 head0.016
GPT teacher head0.251
Teacher spread0.235 · 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.

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
Published2013
Admission routes1
Has abstractyes

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