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Record W1855429889 · doi:10.1109/mwsym.1993.276726

A new look at the 3D condensed node TLM scattering

2002· article· en· W1855429889 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
FieldEngineering
TopicElectromagnetic Simulation and Numerical Methods
Canadian institutionsUniversity of VictoriaNatural Sciences and Engineering Research Council of Canada
Fundersnot available
KeywordsNumberingScatteringImpulse (physics)Topology (electrical circuits)Transmission lineNode (physics)Boundary (topology)Computer scienceBoundary value problemMatrix (chemical analysis)AlgorithmElectronic engineeringMathematical analysisMathematicsPhysicsOpticsAcousticsEngineeringTelecommunicationsCombinatoricsMaterials scienceClassical mechanics

Abstract

fetched live from OpenAlex

A systematic impulse numbering scheme and impulse splitting operation are developed. This numbering scheme reveals the physics of the scattering procedure. The impulse splitting operation allows new scattering matrixes of special nodes to be derived in a straightforward manner. These special nodes can be used to model the sizes and positions of metallic boundaries with good accuracy without using an unnecessarily refined mesh. The impulse splitting operation can be generalized to model some boundary properties, such as sharp edges and corners, finite conductivity, skin effect, and implementation of discrete devices into a TLM (transmission line matrix) network, which cannot be modeled easily and accurately by placing the boundary half-way between nodes.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.833
Threshold uncertainty score1.000

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)0.0230.001

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 head0.243
Teacher spread0.223 · 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