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https://dspace.iiti.ac.in/handle/123456789/7622
Title: | A Unified Scalable Quasi-Ballistic Transport Model of GFET for Circuit Simulations |
Authors: | Kushwaha, Ajay Kumar Vishvakarma, Santosh Kumar |
Keywords: | Analytical models;Backscattering;Ballistics;Carrier transport;Charge carriers;Circuit simulation;Drain current;Gates (transistor);Graphene;Graphene transistors;Mathematical models;Mean square error;Timing circuits;Transport properties;Backscattering coefficients;Graphene fieldeffect transistors (GFET);Integrated circuit modeling;Root mean square errors;Thermal velocity;Field effect transistors |
Issue Date: | 2018 |
Publisher: | Institute of Electrical and Electronics Engineers Inc. |
Citation: | Upadhyay, A. K., Kushwaha, A. K., & Vishvakarma, S. K. (2018). A unified scalable quasi-ballistic transport model of GFET for circuit simulations. IEEE Transactions on Electron Devices, 65(2), 739-746. doi:10.1109/TED.2017.2782658 |
Abstract: | A unified quasi-ballistic transport model is developed for single- and double-gate graphene field-effect transistors (GFETs) using the McKelvey flux theory approach. The proposed model is compact, scalable, and compatible for the simulation of I-V characteristics of GFET for all regions of device operation. The drain current equation (IDS) incorporates the formulation of quasi-thermal velocity, quasi-ballistic mobility of charge carrier (describe the carrier transport of 2-D material like graphene), and source/drain backscattering coefficient. This model is also capable to describe the mobility of graphene material in degenerate and nondegenerate states. The GFET with different channel lengths, widths, and oxide thicknesses is simulated using this model for single- and double-gate devices. The proposed model synchronized with experimental results and explains the peculiar transport characteristics of GFET with normalized root-mean-square error less than 9%. © 2017 IEEE. |
URI: | https://doi.org/10.1109/TED.2017.2782658 https://dspace.iiti.ac.in/handle/123456789/7622 |
ISSN: | 0018-9383 |
Type of Material: | Journal Article |
Appears in Collections: | Department of Metallurgical Engineering and Materials Sciences |
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