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Record W2583002958 · doi:10.1109/epeps.2016.7835445

Efficient transient full-wave analysis of high-speed interconnects in multilayer PCBs

2016· article· en· W2583002958 on OpenAlexaff
Ali Akbarzadeh‐Sharbaf, Dennis D. Giannacopoulos

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectromagnetic Simulation and Numerical Methods
Canadian institutionsMcGill University
Fundersnot available
KeywordsFinite element methodDiscretizationMass matrixLossy compressionBlock matrixFactorizationDiagonalMatrix (chemical analysis)Transient (computer programming)Coupling (piping)Matrix decompositionComputer scienceElectronic engineeringAlgorithmMaterials scienceMathematical analysisMathematicsEngineeringPhysicsGeometryStructural engineeringComposite material

Abstract

fetched live from OpenAlex

A new approach to efficiently simulate 3-D high-speed multilayer printed circuit boards (PCBs) using the finite-element time-domain (FETD) method is proposed. The method is based on the discretization of these structures using multiple layers of prism finite elements. In order to eliminate coupling between different layers in the mass matrix, a combined exact/approximate numerical integration technique is applied to the finite element matrices. This makes the final mass matrix fully block-diagonal and greatly reduces the inversion/factorization cost and time. The formulation is readily extended to lossy materials without any additional adverse effect on the stability condition.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.449
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
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.254
Teacher spread0.237 · 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.

Study designSimulation or modeling
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
Published2016
Admission routes1
Has abstractyes

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