• DocumentCode
    1138281
  • Title

    Modeling of quantum effects for ultrathin oxide MOS structures with an effective potential

  • Author

    Li, Yiming ; Tang, Ting-wei ; Wang, Xinlin

  • Author_Institution
    Nat. Nano Device Labs., Hsinchu, Taiwan
  • Volume
    1
  • Issue
    4
  • fYear
    2002
  • fDate
    12/1/2002 12:00:00 AM
  • Firstpage
    238
  • Lastpage
    242
  • Abstract
    In this paper, the effectiveness of the effective potential (EP) method for modeling quantum effects in ultrathin oxide MOS structures is investigated. The inversion-layer charge density and MOS capacitance in one-dimensional MOS structures are simulated with various substrate doping profiles and gate bias voltages. The effective mass is used as an adjusting parameter to compare results of the EP model with that of the Schrodinger-Poisson solution. The variation of this optimum parameter for various doping profiles at different gate voltages is investigated. The overestimated average inverse charge depth by the EP method is quantified and its reason explained. The EP model is a good practical simulation tool for modeling quantum effects but more work needs to be done to improve its accuracy near the interface.
  • Keywords
    MIS structures; MOSFET; capacitance; doping profiles; effective mass; inversion layers; semiconductor device models; EP model; MOS capacitance; Schrodinger-Poisson solution; doping profiles; effective mass; effective potential modeling; gate bias voltages; gate voltages; inverse charge depth; inversion-layer charge density; one-dimensional MOS structures; optimum parameter; quantum effects; substrate doping profiles; ultrathin oxide MOS structures; Dielectric constant; Dielectric substrates; Doping profiles; Effective mass; Equations; Quantum capacitance; Quantum mechanics; Semiconductor process modeling; Silicon; Voltage;
  • fLanguage
    English
  • Journal_Title
    Nanotechnology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-125X
  • Type

    jour

  • DOI
    10.1109/TNANO.2002.807386
  • Filename
    1176971