• DocumentCode
    822137
  • Title

    Methodology for feedback variable selection for control of semiconductor manufacturing processes - Part 2: Application to reactive ion etching

  • Author

    Patterson, Oliver D. ; Dong, Xiaobin ; Khargonekar, Pramod P. ; Nair, Vijayan N. ; Grimard, Dennis S.

  • Author_Institution
    Agere Syst., Orlando, FL, USA
  • Volume
    16
  • Issue
    4
  • fYear
    2003
  • Firstpage
    588
  • Lastpage
    597
  • Abstract
    The PVVM methodology for feedback variable selection introduced in a companion paper (Patterson et al., 2003) is applied to a gate etch process. The primary purpose of this paper is to illustrate the practical aspects of utilizing this methodology. Particular attention is given to the challenging task of process modeling. The model-building procedure and constraint-limited exhaustive search is demonstrated to perform superior to other model-building procedures including principal component regression and partial least squares regression for use in this methodology. A second purpose is to present the results for the etch process. Advanced sensors considered for real-time process control of this process include an RF probe, mass spectroscopy and optical emission spectroscopy. Feedback variables are selected to reduce variation in etch rate, nonuniformity and lateral etch rate. The advantages of treating location on the wafer as a disturbance to the etch rate model so that both etch rate and nonuniformity may be captured in one model are presented and experimentally verified.
  • Keywords
    feedback; least squares approximations; principal component analysis; process control; semiconductor device manufacture; semiconductor process modelling; sputter etching; RF probe; feedback variable selection; mass spectroscopy; optical emission spectroscopy; partial least squares regression; principal component regression; process model; product variable variance minimization; reactive ion etching; real-time process control; semiconductor manufacturing; sensor instrumentation; Etching; Input variables; Least squares methods; Manufacturing processes; Mass spectroscopy; Optical feedback; Optical sensors; Process control; Radio frequency; Semiconductor device modeling;
  • fLanguage
    English
  • Journal_Title
    Semiconductor Manufacturing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0894-6507
  • Type

    jour

  • DOI
    10.1109/TSM.2003.818962
  • Filename
    1243969