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Computational electromagnetics

About: Computational electromagnetics is a research topic. Over the lifetime, 6412 publications have been published within this topic receiving 113727 citations. The topic is also known as: Electromagnetic field analysis.


Papers
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Journal ArticleDOI
TL;DR: In this paper, a rationale for finite elements has been proposed, showing why they are the finite elements of choice in such an approach, and the specific role that finite elements have to play in such a method is emphasized.
Abstract: The geometrical approach to Maxwell's equations promotes a way to discretize them that can be dubbed Generalized Finite Differences, which has been realized independently in several computing codes. The main features of this method are the use of two grids in duality, the metric-free formulation of the main equations (Ampere and Faraday), and the concentration of metric information in the discrete representation of the Hodge operator. The specific role that finite elements have to play in such an approach is emphasized, and a rationale for Whitney forms is proposed, showing why they are the finite elements of choice.

85 citations

Journal ArticleDOI
TL;DR: In this paper, a method for analyzing metasurfaces, modeled as zero-thickness electromagnetic sheets, in finite difference (FD) techniques is presented, which consists in describing the spatial discontinuity induced by the metasuran surface as a virtual structure, located between nodal rows of the Yee grid, using an FD version of generalized sheet transition conditions.
Abstract: We introduce a rigorous and simple method for analyzing metasurfaces, modeled as zero-thickness electromagnetic sheets, in finite difference (FD) techniques. The method consists in describing the spatial discontinuity induced by the metasurface as a virtual structure, located between nodal rows of the Yee grid, using an FD version of generalized sheet transition conditions. In contrast to previously reported approaches, the proposed method can handle sheets exhibiting both electric and magnetic discontinuities, and represents therefore a fundamental contribution to computational electromagnetics. It is presented here in the framework of the FD frequency domain method, but also applies to the FD time domain scheme. The theory is supported by five illustrative examples.

84 citations

Journal ArticleDOI
TL;DR: In this paper, an efficient method for the numerical simulation of near and far-field propagation of stochastic electromagnetic (EM) fields is presented based on the transformation of field correlation dyadics using Green's functions or the field transfer functions computed for deterministic fields.
Abstract: In this paper, an efficient method for the numerical simulation of near- and far-field propagation of stochastic electromagnetic (EM) fields is presented. The method is based on the transformation of field correlation dyadics using Green's functions or the field transfer functions computed for deterministic fields. The method accounts for arbitrary correlations between the noise radiation sources and allows to compute the spatial distribution of the spectral energy density of noisy electromagnetic sources. The introduced methodology can be combined with available electromagnetic modeling tools. It is shown that the method of moments can be applied to solve noisy electromagnetic field problems by network methods applying correlation matrix techniques. Examples demonstrating the strong influence of the correlation between the sources on the spatial distribution of the radiated noise field are presented.

84 citations

Proceedings ArticleDOI
16 May 1995
TL;DR: A new adaptive technique is proposed to represent the spectral response of general planar structures over some frequency range of interest with a minimal number of frequency samples with no a priori knowledge of the dynamics of the S-parameters.
Abstract: A new adaptive technique is proposed to represent the spectral response of general planar structures over some frequency range of interest with a minimal number of frequency samples. Rational fitting functions are used to model and interpolate the S-parameters obtained through electromagnetic simulation. The adaptive algorithm doesn't require any a priori knowledge of the dynamics of the S-parameters in order to select an appropriate sampling distribution. This greatly improves the transparent use of any electromagnetic simulator. >

84 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202325
2022101
2021153
202091
2019109
2018107