Thumbnail
Access Restriction
Subscribed

Author Hossain, Nahid M ♦ Chowdhury, Masud H
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©2015
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Graphene nanoribbon (GNR) ♦ Capacitance models ♦ Carbon nanotube (CNT) ♦ Control and tunneling oxides ♦ Erasing ♦ Floating gate transistor (FGT) ♦ Low power design ♦ Multilayer GNR (MLGNR) ♦ Nanotechnology ♦ Nonvolatile flash memory (NVM) ♦ Programming
Abstract Floating gate transistor is the fundamental building block of nonvolatile flash memory, which is one of the most widely used memory gadgets in modern micro and nano electronic applications. Recently there has been a surge of interest to introduce a new generation of memory devices using graphene nanotechnology. In this article, we present a new floating gate transistor (FGT) design based on multilayer graphene nanoribbon (MLGNR) and carbon nanotube (CNT). In the proposed FGT, a MLGNR structure would be used as the channel of the field effect transistor (FET) and a layer of CNTs would be used as the floating gate. We have performed an analysis of the programming and erasing mechanism in the floating gate and its dependence on the applied control gate voltages. Based on our analysis we have observed that proposed graphene based floating gate transistor could be operated at a low voltage compared to conventional silicon based floating gate devices. We have presented detail analysis of the operation and the programming and erasing processes of the proposed FGT; the dependency of the programming and erasing current density on different parameters; and the impact of scaling the thicknesses of the control and tunneling oxides. To perform these analyses we have developed equivalent models for device capacitances.
ISSN 15504832
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2015-08-03
Publisher Place New York
e-ISSN 15504840
Journal ACM Journal on Emerging Technologies in Computing Systems (JETC)
Volume Number 12
Issue Number 1
Page Count 17
Starting Page 1
Ending Page 17


Open content in new tab

   Open content in new tab
Source: ACM Digital Library