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Record W2002220046 · doi:10.1002/mop.27094

Predicting infinite periodic structure properties from finite structure models

2012· article· en· W2002220046 on OpenAlexaff
Jonathan Ethier, D.A. McNamara

Bibliographic record

VenueMicrowave and Optical Technology Letters · 2012
Typearticle
Languageen
FieldPhysics and Astronomy
TopicElectromagnetic Scattering and Analysis
Canadian institutionsCommunications Research Centre CanadaUniversity of Ottawa
Fundersnot available
KeywordsLattice (music)Finite element methodMathematicsDistribution (mathematics)MicrowaveElement (criminal law)Code (set theory)Moment (physics)Mathematical analysisStatistical physicsComputer sciencePhysicsEngineeringStructural engineeringClassical mechanicsQuantum mechanics

Abstract

fetched live from OpenAlex

Abstract Many techniques have been proposed for determining the properties of a finite‐sized periodic structure from one consisting of the same elements and lattice, but infinite in size. In this article, we do the opposite, and describe an easily implemented moment method approach to determine the infinite structure properties from a related finite one, but importantly without the necessity of finding the current distribution on any element other than a single central one, and only having to find the solution of a matrix equation whose size is determined by the number of unknowns associated with the central element only. This is useful if one has access to a formulation (and source code) to analyze a single element and wish to know the properties of an infinite periodic structure comprised of such elements. Numerical validation is provided. © 2012 Wiley Periodicals, Inc. Microwave Opt Technol Lett 54:2416–2420, 2012; View this article online at wileyonlinelibrary.com. DOI 10.1002/mop.27094

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)0.000
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 score0.125
Threshold uncertainty score0.765

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.007
GPT teacher head0.189
Teacher spread0.182 · 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

Citations3
Published2012
Admission routes1
Has abstractyes

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