Variability analysis — Prediction method for nanoscale triple gate FinFETs

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

  • D. Tassis - , Aristotle University of Thessaloniki (Autor:in)
  • I. Messaris - , Professur für Grundlagen der Elektronik, Aristotle University of Thessaloniki (Autor:in)
  • N. Fasarakis - , Aristotle University of Thessaloniki (Autor:in)
  • S. Nikolaidis - , Aristotle University of Thessaloniki (Autor:in)
  • G. Ghibaudo - , Institut de Microélectronique, Électromagnétisme et Photonique – Laboratoire d’Hyperfréquences et de Caractérisation ((IMEP-LaHC) (Autor:in)
  • C. Dimitriadis - , Aristotle University of Thessaloniki (Autor:in)

Abstract

We expanded our analytical compact model for the drain current of undoped or lightly doped nanoscale FinFETs, in order to predict and decompose variability in the electrical characteristics of FinFETs. The model has been evaluated by comparison to TCAD simulated devices with predefined variability. Successful application to experimental data of FinFETs with fin width Wfin= 15 nm, gate length LG =30 nm, equivalent gate oxide thickness tox = 1.7 nm and fin height Hfin= 65 nm, has attributed their behavior to geometrical variations (of LG, Wfin) and variability in the metal gate work function (Φm). Furthermore, variability of FinFETs having different number of fins (2-50) and fin's pitch (200-1000 nm) has been investigated.

Details

OriginalspracheEnglisch
Titel2014 29th International Conference on Microelectronics Proceedings - MIEL 2014
Herausgeber (Verlag)Wiley-IEEE Press
Seiten99-102
Seitenumfang4
ISBN (Print)978-1-4799-5293-9
PublikationsstatusVeröffentlicht - 14 Mai 2014
Peer-Review-StatusJa

Konferenz

Titel2014 29th International Conference on Microelectronics Proceedings - MIEL 2014
Dauer12 - 14 Mai 2014
OrtBelgrade, Serbia

Externe IDs

Scopus 84904660056

Schlagworte

Schlagwörter

  • FinFETs, Logic gates, Standards, Threshold voltage, Input variables, Analytical models, Metals