Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Issue title: Applied Mathematics Related to Nonlinear Problems
Guest editors: Juan L.G. Guirao and Wei Gao
Article type: Research Article
Authors: Han, Ke; * | Qiao, Guohui | Deng, Zhongliang | Li, Qingbo | Xing, Huashuai
Affiliations: College of Electronic Engineering, Beijing University of Posts and Telecommunications, Haiding District, Beijing, China
Correspondence: [*] Corresponding author. Ke Han, College of Electronic Engineering, Beijing University of Posts and Telecommunications, Haiding district, Beijing, China. Tel.: +86 13810122828; E-mail: hankev@163.com.
Abstract: Nowadays FinFETs integrated into complex applications can fulfill the demand of new technology and make chips that can compute faster. Simultaneously various novel FinFETs structures come up constantly. In this brief, the impact of significant geometry parameters variations to device performance has been studied, such as fin height (Hfin), fin width (Wfin), fin spacing (Sfin), aspect ratio (Wfin/Hfin), and so on. In the result, we are able to determine the optimum device parameters for Multi-fin FinFETs. Meanwhile we analyze the parasitic gate capacitance and resistance of the multi-fin FinFETs using a conformal mapping method. To minimize the number of model fitting parameters, nondimensionalization technique is used. An effective lumped resistance model derived from distributed RC network is in use. Also, an analytical parasitic gate capacitance model is proposed, combined with parasitic capacitive couplings between source/drain fins and gates. Those analytical model can be applied for accurate circuit simulations of multi-fin FinFETs devices. The results presented in this paper can be of great help to device designers in designing 3-D devices as per their requirement.
Keywords: Optimized parameters, device performance, multi-fin FinFETs, parasitic capacitance, parasitic resistance, conformal mapping
DOI: 10.3233/JIFS-169319
Journal: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 5, pp. 2699-2709, 2017
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
sales@iospress.com
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
info@iospress.nl
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office info@iospress.nl
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
china@iospress.cn
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
如果您在出版方面需要帮助或有任何建, 件至: editorial@iospress.nl