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Full-Wave Analysis of Interconnects in Finite Substrates with Layered Media Formulation of SVS-EFIE for 3D Composite Metal-Dielectric Structures

2023· article· en· W4388720728 on OpenAlexaff
Alireza Niazi, Shucheng Zheng, Chris Nguyễn, Vladimir Okhmatovski

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicElectromagnetic Scattering and Analysis
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsIntegral equationElectric-field integral equationDiscretizationMethod of moments (probability theory)DielectricTruncation (statistics)Mathematical analysisMaterials scienceMathematicsOptoelectronics

Abstract

fetched live from OpenAlex

In this paper we demonstrate full-wave electromagnetic analysis of the IBM Plasma electronic package nets embedded into the multilayered substrate of finite extent within the framework of a layered medium integral equation formulation. Truncation of the substrate is obtained through inclusion of the finite dielectric regions of air into the otherwise ideal layered medium of the infinite extend. Such air regions introduce the desired effect of physical truncation of the substrate layers, while still allowing for use of integral equation formulations with the layered medium Green’s functions avoiding discretization of the layers. Computation framework is based on coupled system of layered medium Mixed Potential Integral Equation (MPIE) and Surface-Volume-Surface Electric Field Integral Equation (SVS-EFIE) suitable for analysis of general composite 3D metal/dielectric structures embedded in layered media.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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 communication0.0010.001
Open science0.0000.000
Research integrity0.0010.000
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 head0.245
Teacher spread0.227 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations9
Published2023
Admission routes1
Has abstractyes

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