MétaCan
Menu
Back to cohort
Record W2158792438 · doi:10.1109/aps.2014.6904750

Observations on computational outcomes for the characteristic modes of dielectric objects

2014· article· en· W2158792438 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicElectromagnetic Scattering and Analysis
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsDielectricIntegral equationComputer sciencePower (physics)Computational complexity theoryAlgorithmMathematicsComputational scienceMathematical optimizationMathematical analysisPhysicsElectrical engineeringEngineering

Abstract

fetched live from OpenAlex

Some computational aspects for the characteristic modes (CM) of dielectric objects are examined. Volume integral equation (VIE) formulations are reliable but computationally burdensome. The use of surface integral equation (SIE) formulations results in a lighter computational load but, we show here, obtrudes certain non-physical modes in addition to the physical ones. We show that the non-physical ones are easily identified using a radiated power check, and can be discarded, so allowing use of the SIE for finding the true CMs of dielectric objects. The SIE can be used with fine meshing with relatively modest computational resources; this is of practical importance.

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.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.688
Threshold uncertainty score0.149

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 head0.018
GPT teacher head0.250
Teacher spread0.232 · 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

Quick stats

Citations61
Published2014
Admission routes1
Has abstractyes

Explore more

Same topicElectromagnetic Scattering and AnalysisFrench-language works237,207