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Record W4415820797 · doi:10.1109/tap.2025.3626016

Stability Analysis of Metasurfaces Based on Effective Surface Susceptibility State-Space Model

2025· article· W4415820797 on OpenAlexaff
Keith V. K. Ha, Jordan Dugan, T. Smy, Shulabh Gupta

Bibliographic record

VenueIEEE Transactions on Antennas and Propagation · 2025
Typearticle
Language
FieldMaterials Science
TopicMetamaterials and Metasurfaces Applications
Canadian institutionsCarleton University
Fundersnot available
KeywordsNumerical stabilityNumerical analysisStability (learning theory)Impulse (physics)Algebraic equationAlgebraic numberMathematical modelPolarization (electrochemistry)Surface (topology)

Abstract

fetched live from OpenAlex

As a mathematical model of broadband dispersive metasurfaces, the Generalized Sheet Transition Conditions (GSTC) with Lorentz-dispersive material response is formulated as a continuous-time singular system, i.e. a system of differential algebraic equations, which provides a convenient method to investigate the numerical stability of time-domain simulations. This system is transformed to an equivalent regular system which can be represented as a state-space model to methodically solve for the system’s exact time-domain solutions and impulse response, and allowing for an analysis of stability by determining the system’s poles. The system is then time-discretized with various finite-difference formulations, and represented in discrete-time state-space form to analyze the numerical stability, again by determining the numerical poles produced in each formulation. Detailed theoretical formulations and stability predictions are developed for each finite difference formulations, which are then further validated using numerical full-wave simulations. In both the dispersionless and dispersive cases, the analysis focuses on the polarization and the field responses on the 2D surface, by considering only the surface’s effective tangential and normal susceptibility components, to apply the mathematical techniques and establish a stability analysis framework using state-space control theory.

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)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.458
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0010.001
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 head0.022
GPT teacher head0.279
Teacher spread0.258 · 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 designBench or experimental
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
Published2025
Admission routes1
Has abstractyes

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