• DocumentCode
    1574929
  • Title

    Quantum corrected drift-diffusion simulation for prediction of CMOS scaling

  • Author

    SungGeun Kim ; Salmani-Jelodar, Mehdi ; Kwok Ng ; Klimeck, Gerhard

  • Author_Institution
    Network for Comput. Nanotechnol., Purdue Univ., West Lafayette, IN, USA
  • fYear
    2013
  • Firstpage
    119
  • Lastpage
    120
  • Abstract
    As the sizes of MOSFETs become smaller, the role of TCAD tools has increased significantly. Among TCAD tools, drift-diffusion (DD) simulators have been useful in providing insights into the operational principles of MOSFETs. DD simulators are fast due to a low computational burden compared to more sophisticated simulation methods such as full-band quantum transport simulators which cannot handle the volume of the bulk devices. However, as the device sizes become smaller, quantum mechanical (QM) effects render the DD results inaccurate. These QM phenomena are the ballistic resistance, the ballistic transport, the source-to-drain (SD) tunneling and the quantum confinement effects. In this work, these QM effects except the SD tunneling are dealt with such that DD tools can extend their use in modern nanoscale MOSFETs.
  • Keywords
    CMOS integrated circuits; MOSFET; ballistic transport; semiconductor device models; technology CAD (electronics); tunnelling; CMOS scaling prediction; MOSFET; TCAD tools; ballistic resistance; ballistic transport; quantum confinement effects; quantum corrected drift-diffusion simulation; quantum mechanical effects; source-to-drain tunneling; Capacitance-voltage characteristics; Data models; MOSFET; Mathematical model; Potential well; Resistance; Simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Device Research Conference (DRC), 2013 71st Annual
  • Conference_Location
    Notre Dame, IN
  • ISSN
    1548-3770
  • Print_ISBN
    978-1-4799-0811-0
  • Type

    conf

  • DOI
    10.1109/DRC.2013.6633822
  • Filename
    6633822