RF performance and small-signal parameter extraction of junctionless silicon nanowire MOSFETs

Seongjae Cho, Kyung Rok Kim, Byung Gook Park, In Man Kang

Research output: Contribution to journalArticlepeer-review

184 Scopus citations


This paper presents a radio-frequency (RF) model and extracted model parameters for junctionless silicon nanowire (JLSNW) metaloxidesemiconductor field-effect transistors (MOSFETs) using a 3-D device simulator. JLSNW MOSFETs are evaluated for various RF parameters such as cutoff frequency fT, gate input capacitance, distributed channel resistances, transport time delay, and capacitance by the drain-induced barrier lowering effect. Direct comparisons of high-frequency performances and extracted parameters are made with conventional silicon nanowire MOSFETs. A non-quasi-static RF model has been used, along with SPICE to simulate JLSNW MOSFETs with RF parameters extracted from 3-D-simulated Y-parameters. The results show excellent agreements with the 3-D-simulated results up to the high frequency of fT.

Original languageEnglish
Article number5720296
Pages (from-to)1388-1396
Number of pages9
JournalIEEE Transactions on Electron Devices
Issue number5
StatePublished - May 2011

Bibliographical note

Funding Information:
Manuscript received June 14, 2010; revised December 23, 2010 and January 13, 2011; accepted January 19, 2011. Date of publication February 24, 2011; date of current version April 22, 2011. This work was supported by the Basic Science Research Program through the National Research Foundation of Korea funded by the Ministry of Education, Science and Technology under Grant 2010-0020979. The review of this paper was arranged by Editor D. Verret.


  • Device simulation
  • junctionless (JL)
  • metaloxidesemiconductor field-effect transistor (MOSFET)
  • modeling
  • non-quasi-static (NQS)
  • parameter extraction
  • radio frequency (RF)
  • silicon nanowire (SNW)


Dive into the research topics of 'RF performance and small-signal parameter extraction of junctionless silicon nanowire MOSFETs'. Together they form a unique fingerprint.

Cite this