Well-Conditioned Volume-Surface Integral Equation for Scatterers with Positive-Negative Permittivity Regions

Heterogeneous scatterers containing positive- and negative-permittivity regions remain challenging for traditional surface integral equation (SIE) and volume integral equation (VIE) solvers, since SIE generally requires piecewise-homogeneous regions, whereas VIE can yield poorly conditioned systems. This work proposes a multi-region internally combined volume-surface integral equation (ICVSIE) solver for accurate electromagnetic analysis of such scatterers. In the proposed formulation, positive- and negative-permittivity regions are enclosed by equivalent surfaces, while polarization currents radiate in fictitious media selected to reduce permittivity contrast. Exterior and interior equations are combined through Galerkin testing. Numerical results show that ICVSIE remains well-conditioned and nearly insensitive to permittivity contrast, with condition numbers around 10² compared with 10⁵–10⁶ for VIE. It converges within a few hundred iterations, while VIE fails to converge within 15,000 iterations, and computed radar cross sections agree with FEKO and COMSOL, demonstrating a stable solver for mixed-sign-permittivity scatterers.

Authors

Institutions

Publication Details

Journal
Celal Bayar Üniversitesi Fen Bilimleri Dergisi
Published
2026-09-30
DOI
https://doi.org/10.18466/cbayarfbe.1967312
Primary Topic
Electromagnetic Scattering and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Well-Conditioned Volume-Surface Integral Equation for Scatterers with Positive-Negative Permittivity Regions

Sadeed Bin Sayed, Abdulkadir C. Yücel
Celal Bayar Üniversitesi Fen Bilimleri Dergisi
Electromagnetic Scattering and Analysis
article

Well-Conditioned Volume-Surface Integral Equation for Scatterers with Positive-Negative Permittivity Regions

Sadeed Bin Sayed, Abdulkadir C. Yücel
article en

Abstract

Heterogeneous scatterers containing positive- and negative-permittivity regions remain challenging for traditional surface integral equation (SIE) and volume integral equation (VIE) solvers, since SIE generally requires piecewise-homogeneous regions, whereas VIE can yield poorly conditioned systems. This work proposes a multi-region internally combined volume-surface integral equation (ICVSIE) solver for accurate electromagnetic analysis of such scatterers. In the proposed formulation, positive- and negative-permittivity regions are enclosed by equivalent surfaces, while polarization currents radiate in fictitious media selected to reduce permittivity contrast. Exterior and interior equations are combined through Galerkin testing. Numerical results show that ICVSIE remains well-conditioned and nearly insensitive to permittivity contrast, with condition numbers around 10² compared with 10⁵–10⁶ for VIE. It converges within a few hundred iterations, while VIE fails to converge within 15,000 iterations, and computed radar cross sections agree with FEKO and COMSOL, demonstrating a stable solver for mixed-sign-permittivity scatterers.

Celal Bayar Üniversitesi Fen Bilimleri DergisiVol. 22(3)
Nanyang Technological University (SG), King Abdullah University of Science and Technology (SA)
Openalex Percentile: Top 14%
Electromagnetic Scattering and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Well-Conditioned Volume-Surface Integral Equation for Scatterers with Positive-Negative Permittivity Regions — Sadeed Bin Sayed, Abdulkadir C. Yücel · Celal Bayar Üniversitesi Fen Bilimleri Dergisi (2026) | TGRS Research Map | TGRS