DocumentCode
742903
Title
Multiscale Modeling for Graphene-Based Nanoscale Transistors
Author
Fiori, G. ; Iannaccone, Giuseppe
Author_Institution
Dipt. di Ing. dell´Inf., Univ. di Pisa, Pisa, Italy
Volume
101
Issue
7
fYear
2013
fDate
7/1/2013 12:00:00 AM
Firstpage
1653
Lastpage
1669
Abstract
The quest for developing graphene-based nanoelectronics puts new requirements on the science and technology of device modeling. It also heightens the role of device modeling in the exploration and in the early assessment of technology options. Graphene-based nanoelectronics is the first form of molecular electronics to reach real prominence, and therefore the role of single atoms and of chemical properties acquires more relevance than in the case of bulk semiconductors. In addition, the promising perspectives offered by band engineering of graphene through chemical modifications increase the role of quantum chemistry methods in the assessment of material properties. In this paper, we review the multiphysics multiscale (MS) approaches required to model graphene-based materials and devices, presenting a comprehensive overview of the main physical models providing a quantitative understanding of the operation of nanoscale transistors. We especially focus on the ongoing efforts to consistently connect simulations at different levels of physical abstraction in order to evaluate materials, device, and circuit properties. We discuss various attempts to induce a gap in graphene-based materials and their impact on the operation of different transistor structures. Finally, we compare candidate devices in terms of integrated circuit performance and robustness to process variability.
Keywords
field effect transistors; graphene; molecular electronics; nanoelectronics; semiconductor device models; C; bulk semiconductors; chemical properties; graphene-based nanoelectronics; graphene-based nanoscale transistors; integrated circuit performance; molecular electronics; multiphysics multiscale; multiscale modeling; physical abstraction; process variability; quantum chemistry; transistor structures; Computational modeling; Graphene; Integrated circuit modeling; Mathematical model; Microelectronics; Nanoelectronics; Scattering; Transistors; Computational electronics; electron devices; graphene; multiscale (MS) modeling; nanoelectronics; nanoscale transistors;
fLanguage
English
Journal_Title
Proceedings of the IEEE
Publisher
ieee
ISSN
0018-9219
Type
jour
DOI
10.1109/JPROC.2013.2259451
Filename
6520883
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