An efficient electromagnetic-physics-based numerical technique for modeling and optimization of high-frequency multifinger transistors

Yasser A. Hussein, Samir M. El-Ghazaly, Stephen Goodnick

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

We present a fast wavelet-based time-domain modeling technique to study the effect of electromagnetic (EM)-wave propagation on the performance of high-power and high-frequency multifinger transistors. The proposed approach solves the active device model that combines the transport physics, and Maxwell's equations on nonuniform self-adaptive grids, obtained by applying wavelet transforms followed by hard thresholding. This allows forming fine and coarse grids in the locations where variable solutions change rapidly and slowly, respectively. A CPU time reduction of 75% is achieved compared to a uniform-grid case, while maintaining the same degree of accuracy. After validation, the potential of the developed technique is demonstrated by EM-physical modeling of multifinger transistors. Different numerical examples are presented, showing that accurate modeling of high-frequency devices should incorporate the effect of EM-wave propagation and electron-wave interactions within and around the device. Moreover, high-frequency advantages of multifinger transistors over single-finger transistors are underlined through numerical examples. To our knowledge, this is the first time in the literature a fully numerical EM-physics-based simulator for accurate modeling of high-frequency multifinger transistors is introduced and implemented.

Original languageEnglish (US)
Pages (from-to)2334-2346
Number of pages13
JournalIEEE Transactions on Microwave Theory and Techniques
Volume51
Issue number12
DOIs
StatePublished - Dec 2003

Keywords

  • Full hydrodynamic model
  • Global modeling
  • Maxwell's equations
  • Multifinger transistors
  • Multiresolution time domain (MRTD)
  • Semiconductor simulation
  • Wavelets

ASJC Scopus subject areas

  • Radiation
  • Condensed Matter Physics
  • Electrical and Electronic Engineering

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