• DocumentCode
    495436
  • Title

    Computer Simulation of 3D Mask Image Based on Self-Adaptive Model in VLSI Lithography

  • Author

    Cao, Peng Fei ; Cheng, Lin ; Zhang, Xiao Ping

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Lanzhou Univ., Lanzhou, China
  • Volume
    3
  • fYear
    2009
  • fDate
    March 31 2009-April 2 2009
  • Firstpage
    484
  • Lastpage
    487
  • Abstract
    Because the defects of the scalar quantity method for calculating 3D mask under off-axis illumination and the rigorous electromagnetic simulation method, basing on the vector Hopkins formula inferred past work, a model of adaptive Gaussian filter with scale adjustable is introduced, and new transmission cross coefficient contained parameters for lithography system is achieved. By using the arithmetic for analyzing transmission cross coefficient, it improved compute speed. As an example to TE wave, by simulating the aerial image of the three dimensional mask in actual lithography process, the inhibitor diffusion in photo resist is simulated, and the aerial image of the three dimensional mask in actual lithography process is also obtained.
  • Keywords
    Gaussian processes; VLSI; adaptive filters; digital simulation; image resolution; masks; photolithography; 3D mask image; VLSI lithography; adaptive Gaussian filter; aerial image; computer simulation; electromagnetic simulation method; off-axis illumination; optical lithography; resolution requirement; scalar quantity method; self-adaptive model; semiconductor industry; transmission cross coefficient; vector Hopkins formula; Adaptive filters; Arithmetic; Computational modeling; Computer simulation; Electromagnetic modeling; Inhibitors; Lighting; Lithography; Tellurium; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Engineering, 2009 WRI World Congress on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-0-7695-3507-4
  • Type

    conf

  • DOI
    10.1109/CSIE.2009.583
  • Filename
    5170889