Passive device modeling methodology using nonlinear optimization

Journal Article (Journal Article)

In this paper we describe a method of accurately modeling new passive devices by deembedding the many building blocks from which they are built from just a few test structures. We use a nonlinear optimizer to find the optimal models for the building blocks by fitting extensive high frequency measurements of the test structures behavior. Key results are: the number of test structures needed is much less than the number of parameters and building blocks to be extracted; the extracted models of the building blocks are very predictive of the behavior of new devices built from them; and this methodology is much faster than other finite element like methods.

Duke Authors

Cited Authors

  • Carastro, LA; Poddar, R; Moon, E; Brooke, MA; Jokerst, NM

Published Date

  • January 1, 1999

Published In

Volume / Issue

  • 6 /

International Standard Serial Number (ISSN)

  • 0271-4310

Citation Source

  • Scopus