2006 IEEE Electrical Performane of Electronic Packaging 2006
DOI: 10.1109/epep.2006.321190
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Efficient Modeling of Package Power Delivery Networks with Fringing Fields and Gap Coupling in Mixed Signal Systems

Abstract: Full-wave EM simulations are computationally expensive given the complexity of packaging structures in modern mixed signal systems. Fast methods such as the transmission matrix method are inaccurate as they do not model discontinuities such as metal edges and gaps. In this paper, simple models for the edge effect and gap coupling are developed for the finite difference frequency domain method. Results are presented comparing the accuracy of the proposed method with full-wave simulations and measurements.

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Cited by 12 publications
(9 citation statements)
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“…The pinwheel structure is on the top layer and it is connected to ground [8]. It is effective in lowering the frequency bandwidth while keeping meaner-line complexity in reasonable range by increasing C value significantly.…”
Section: ©2016 Ieeementioning
confidence: 99%
“…The pinwheel structure is on the top layer and it is connected to ground [8]. It is effective in lowering the frequency bandwidth while keeping meaner-line complexity in reasonable range by increasing C value significantly.…”
Section: ©2016 Ieeementioning
confidence: 99%
“…In [1], split planes have been modeled by employing lumped coupling elements. The values for these elements can be derived from closed form expressions based on the geometry of the problem.…”
Section: Ssn Coupling In Package Struc-turesmentioning
confidence: 99%
“…However, this technique requires the development of a large database that accounts for variations in dielectric height and permittivity, trace width and metal height, and can suffer from interpolation errors. On the other hand, the technique proposed in [1] relies on well characterized closed form expressions which are easy to implement. The fringe fields are corrected by adding additional elements to edges.…”
Section: Fringe Effect Modelsmentioning
confidence: 99%
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“…Such problems have been analyzed in the past by making use of time-and frequency-domain techniques. Most of these solvers can be classified, in increasing order of accuracy, as two-dimensional (2D) [3], two-point-five -dimensional (2.5D) [4] and three-dimensional (3D) [5]. Though 3D solvers are the most accurate, they also impose a heavy penalty in terms of time required for analysis.…”
Section: Introductionmentioning
confidence: 99%