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Efficient Macromodel for Interconnects Excited by Incident Fields

Authors: B. Haddadin; Min Ma; T. S. Roseanu; Roni Khazaka;

Efficient Macromodel for Interconnects Excited by Incident Fields

Abstract

The analysis of interconnects in the presence of incident electromagnetic fields is an important part of the design process. Such an analysis is, however, very cpu expensive due to the large size of interconnect networks. Krylov based reduction methods were proposed in order to address the complexity of such simulations, however, they result in macromodels which are not optimal and still contain many redundant poles. In this paper a two level reduction method is proposed for interconnect affected by incident electromagnetic fields. The macromodels obtained using the proposed approach are less than half the size of those generated by previous techniques. The first level of reduction is a conventional Krylov subspace based reduction, while the second level is based on singular value decomposition. Furthermore, the proposed method is a projection method based on congruence transformation and is therefore passive by construction. Numerical examples are shown in order to illustrate the accuracy and efficiency of the proposed technique.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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