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Modelling of Compact Models of Carbon Nanotube Field Effect Transistors with VHDL-AMS
Published on April 2018 by
Priyanka Tyagi,
Aakansha Garg
| IPR, Future Technology, Optimization and Management |
| Foundation of Computer Science USA |
| NCIFTOM2016 - Number 1 |
| April 2018 |
| Authors: Priyanka Tyagi, Aakansha Garg |
Priyanka Tyagi, Aakansha Garg . Modelling of Compact Models of Carbon Nanotube Field Effect Transistors with VHDL-AMS. IPR, Future Technology, Optimization and Management. NCIFTOM2016, 1 (April 2018), 15-20.
@article{
author = {
Priyanka Tyagi,
Aakansha Garg
},
title = { Modelling of Compact Models of Carbon Nanotube Field Effect Transistors with VHDL-AMS },
journal = {
IPR, Future Technology, Optimization and Management
},
issue_date = { April 2018 },
volume = { NCIFTOM2016 },
number = { 1 },
month = { April },
year = { 2018 },
issn = 0975-8887,
pages = {
15-20
},
numpages = 6,
url = {
/proceedings/nciftom2016/number1/29189-1605/
},
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 IPR, Future Technology, Optimization and Management
%A Priyanka Tyagi
%A Aakansha Garg
%T Modelling of Compact Models of Carbon Nanotube Field Effect Transistors with VHDL-AMS
%J IPR, Future Technology, Optimization and Management
%@ 0975-8887
%V NCIFTOM2016
%N 1
%P 15-20
%D 2018
%I International Journal of Computer Applications
Abstract
This paper related to modelling and simulation of the carbon nanotube field effect transistor (CNTFET). There are two compact models for CNTFET's, the first which behaves like a MOSFET is known as the classical behaviour model and the other one is schottky barrier CNTFET is known as ambipolarbehaviourmodel . Like MOSFET devices these models implemented in VHDL-AMS. MOSFETs are modelled in VHDL which is a hardware description language and results are simulated on the simulators. CNTFET models are implemented on VHDL-AMS and have been compared with numerical simulation.
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Index Terms
Computer Science
Information Sciences
Keywords