• DocumentCode
    2644597
  • Title

    New insights into AC RTN in scaled high-к / metal-gate MOSFETs under digital circuit operations

  • Author

    Zou, Jibin ; Wang, Runsheng ; Gong, Nanbo ; Huang, Ru ; Xu, Xiaoqing ; Ou, Jiaojiao ; Liu, Changze ; Wang, Jianping ; Jinhua Liu ; Jingang Wu ; Yu, Shaofeng ; Pengpeng Ren ; Wu, Hanming ; Lee, Shiuh-Wuu ; Wang, Yangyuan

  • Author_Institution
    Inst. of Microelectron., Peking Univ., Beijing, China
  • fYear
    2012
  • fDate
    12-14 June 2012
  • Firstpage
    139
  • Lastpage
    140
  • Abstract
    Since devices actually operate under AC signals in digital circuits, it is more informative to study random telegraph noise (RTN) at dynamic AC biases than at constant DC voltages. We found that the AC RTN statistics largely deviates from traditional DC RTN, in terms of different distribution functions and the strong dependence on AC signal frequency, which directly impacts on the accurate prediction of circuit stability and variability. The AC RTN characteristics in high-κ/metal-gate FETs are different from that in SiON FETs, and both of which cannot be described by classical RTN theory. A physical model based on quantum mechanics is proposed, which successfully explains the new observations of AC RTN. It is also demonstrated that, if using DC RTN statistics instead of AC RTN, a large error of 30% overestimation on the read failure probability in ultra-scaled SRAM cells will occur. These new understandings are critical for the robust circuit design against RTN in practical digital circuits.
  • Keywords
    MOSFET; SRAM chips; circuit stability; network synthesis; probability; quantum theory; statistics; AC RTN; AC random telegraph noise; AC signal frequency; AC signal operation; circuit stability prediction; constant DC voltage; digital circuit design operation; distribution function; failure probability; physical model; quantum mechanic; scaled high-κ-metal-gate MOSFET; ultrascaled SRAM cell; Circuit stability; Digital circuits; Exponential distribution; FETs; Frequency dependence; Random access memory; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    VLSI Technology (VLSIT), 2012 Symposium on
  • Conference_Location
    Honolulu, HI
  • ISSN
    0743-1562
  • Print_ISBN
    978-1-4673-0846-5
  • Electronic_ISBN
    0743-1562
  • Type

    conf

  • DOI
    10.1109/VLSIT.2012.6242500
  • Filename
    6242500