31st European Microwave Conference, 2001 2001
DOI: 10.1109/euma.2001.339177
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Coupling of Solid-State and Electromagnetic Equations for Simulation of Wireless Packaged Geometries

Abstract: I. IntroductionThe accurate design and optimization of state-of-the-art wireless devices requires a simulator that can model both active and passive devices. Various solid-state models exist for these types of devices [1] and have been previously integrated with electromagnetic simulators (EMS), such as FDTD [2, 3, 4]. However, most of the prior implantations of this coupling have been limited in application due to the fact that the application of the CFL conditions [1] and stability requirements for the two m… Show more

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Cited by 2 publications
(2 citation statements)
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“…The novel method shown here extends the basic tenets of Vee's Leapfrog method in space and time Maxwell's Curl equation discretization to the HDM [6,7]. If one accepts that the equations can be sufficiently decoupled to stagger the gridding in space, the staggering of these variables in time is the next natural extension.…”
Section: New Hdm Methodologymentioning
confidence: 97%
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“…The novel method shown here extends the basic tenets of Vee's Leapfrog method in space and time Maxwell's Curl equation discretization to the HDM [6,7]. If one accepts that the equations can be sufficiently decoupled to stagger the gridding in space, the staggering of these variables in time is the next natural extension.…”
Section: New Hdm Methodologymentioning
confidence: 97%
“…The collision terms in each of these equations describe the average carrier-carrier, carrierlattice interaction. In a multi-band device the collision term in the conservation of mass would allow for the loss or gain of mass due to the carriers' transition from one energy band to approaches to discretize the highly coupled non-linear model shown in (1 )- (6) were typically based on the staggering of the scalars and vector parameters at full and half nodal points or setting all variables at the nodal points at the same time step. This approximation is based on the assumption the variables are unable to be decoupled in time causing the model to be 2 nd order accurate in space, but only 1st order accurate in time.…”
Section: A Model Descriptionmentioning
confidence: 99%