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Record W2147992084 · doi:10.12783/jmc.v1i1.46

The Role of Substrate Elastic Modulus in the Strain-Dependent Behavior of Electromagnetic Metamaterials: Analytic Description, Multiphysics Modeling, and Test Results

2013· article· en· W2147992084 on OpenAlexvenueno aff
Brandon Arritt, David R. Smith, Tariq Khraishi

Bibliographic record

VenueJournal of Medical Cases · 2013
Typearticle
Languageen
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsMetamaterialMultiphysicsComposite materialStrain (injury)ModulusSubstrate (aquarium)StiffnessMaterials scienceElastic modulusFinite element methodPhysicsOptoelectronicsThermodynamics

Abstract

fetched live from OpenAlex

Metamaterial strain-dependent electromagnetic (EM) behavior is strongly influenced by its constituent materials. Metamaterials, like all composites, may exhibit complicated strain profiles when subjected to mechanical loading. At the unit cell level, the degree of non-uniformity in the strain profile is a function of loading, unit cell geometry, and the relative stiffness contributions of the composite’s constituent materials (in this case, copper conductive traces and a polymer dielectric substrate). Analytic expressions and multi-physics modeling are utilized to describe the relationship between substrate modulus, strain, and EM behavior. Testing was conducted to corroborate and validate the multi-physics models. An interesting result of this research is that depending upon the Elastic Modulus of the substrate, a consistent strain profile applied at the unit cell level can result in either a positive or negative shift in the metamaterial’s resonant frequency.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.815
Threshold uncertainty score0.209

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 head0.020
GPT teacher head0.249
Teacher spread0.229 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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