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Record W1596491852

Analytical response sensitivities of infinitesimally thin metallic shapes

2013· article· en· W1596491852 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

VenueEuropean Microwave Conference · 2013
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsMcMaster University
Fundersnot available
KeywordsFinite element methodInfinitesimalFinite-difference time-domain methodMethod of moments (probability theory)ComputationSensitivity (control systems)Gravitational singularityField (mathematics)Mathematical analysisFinite difference methodFinite differenceComputer scienceMathematicsElectronic engineeringAlgorithmPhysicsOpticsEngineeringStructural engineering
DOInot available

Abstract

fetched live from OpenAlex

Recently, a self-adjoint analytical method was proposed to compute the S-parameter sensitivities of microwave structures from the field solution at the object of interest. However, due to field singularities, the method is inapplicable to infinitesimally thin metallic shapes-a case of interest in the analysis and design of printed circuits and antennas. Here, we propose a formulation, which allows for the analytical calculation of the sensitivities with respect to the shape parameters of infinitesimally thin metallic objects. The computation is simulator-independent and is very fast as it involves a numerical integration of the surface current and charge densities along a suitably chosen contour on the metal. The method is validated through comparisons with reference S-parameters sensitivities obtained with a commercial finite-element-method (FEM) simulator. The proposed method enables the much needed analytical response sensitivities for simulators that are not based on the FEM, e.g., the method of moments (MoM) and the finite-difference time-domain (FDTD) method.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.482
Threshold uncertainty score1.000

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)0.0000.001

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 head0.204
Teacher spread0.185 · 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