• DocumentCode
    1999737
  • Title

    Process-variation-aware electromagnetic-semiconductor coupled simulation

  • Author

    Xu, Yuanzhe ; Chen, Quan ; Jiang, Lijun ; Wong, Ngai

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. of Hong Kong, Hong Kong, China
  • fYear
    2011
  • fDate
    15-18 May 2011
  • Firstpage
    2853
  • Lastpage
    2856
  • Abstract
    We develop a new method based on the high-frequency electromagnetic (EM)-semiconductor coupled simulation to analyze the impact of multi-type process variations happen around semiconductor-metal structure. It is competent to simultaneously handle geometrical variations like surface roughness and material variations like semi-conductor doping profile, which are difficult for traditional "stand alone" simulation methods. A sparse grid based stochastic spectral collocation method (SSCM) combined with principle factor analysis (PFA) is implemented to accelerate the stochastic simulation. Numerical results confirm the validity and significance of our variational coupled simulation framework.
  • Keywords
    semiconductor devices; semiconductor doping; stochastic processes; surface roughness; PFA; SSCM; geometrical variation; principle factor analysis; process-variation-aware electromagnetic-semiconductor coupled simulation; semiconductor device; semiconductor doping profile; semiconductor-metal structure; sparse grid; stochastic spectral collocation method; surface roughness; Computational modeling; Equations; Materials; Mathematical model; Numerical models; Semiconductor device modeling; Semiconductor process modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), 2011 IEEE International Symposium on
  • Conference_Location
    Rio de Janeiro
  • ISSN
    0271-4302
  • Print_ISBN
    978-1-4244-9473-6
  • Electronic_ISBN
    0271-4302
  • Type

    conf

  • DOI
    10.1109/ISCAS.2011.5938200
  • Filename
    5938200