SlideShare a Scribd company logo
1 of 10
Download to read offline
International Journal of Electrical and Computer Engineering (IJECE)
Vol. 8, No. 6, December 2018, pp. 4941~4950
ISSN: 2088-8708, DOI: 10.11591/ijece.v8i6.pp4941-4950  4941
Journal homepage: http://iaescore.com/journals/index.php/IJECE
Effect of Chirality and Oxide Thikness on the Performance of a
Ballistic CNTFET
Asma Laribi, Ahlam Guen Bouazza
Unit of Research Materials and Renewable Energies, Department of Electronics, Faculty of Technology,
University Abou-BakrBelkaid, Algeria
Article Info ABSTRACT
Article history:
Received Dec 29, 2017
Revised Jul 8, 2018
Accepted Jul 24, 2018
Since the discovery of 1D nano-object, they are constantly revealing
significant physical properties. In this regard, carbon nanotube (CNT) is
considered as a promising candidate for application in future nanoelectronics
devices like carbon nanotube field effect transistor (CNTFET). In this work,
the impact of chirality and gate oxide thikness on the electrical
characteristics of a CNTFET are studied. The chiralities used are (5, 0), (10,
0), (19, 0), (26, 0), and the gate oxide thikness varied from 1 to 5 nm. This
work is based on a numerical simulation program based on surface potential
model. CNTFET Modeling is useful for semiconductor industries for nano
scale devices manufacturing. From our results we have observed that the
output current increases with chirality increasing. We have also highlighted
the importance of the gate oxide thickness on the drain current that increases
when gate oxide is thin.
Keyword:
Chyrality
Cnt
Cntfet
Gate oxyde thikness
Numerical simultion
Copyright © 2018 Institute of Advanced Engineering and Science.
All rights reserved.
Corresponding Author:
Asma Laribi,
Unit of Research Materials and Renewable Energies,
University Abou-Bakr Belkaid,
Tlemcen, Algeria BP 330 Tlemcen.
Email: lar_asma@yahoo.fr
1. INTRODUCTION
The progress in silicon technology continues to outpace the historic pace of Moore's Law, but the
end of device scaling now seems to be only 10-15 years away [1]. A new alternative appears to overcome all
these limitations. One of the most promising areas of research in the improvement of transistors performance
is the use of carbon nanotubes (CNTs) that is considered today as the most important new materials with
excellent properties [2] beyond the 11-nm technology node due to its superior electrical properties of CNTs
[3] and the feasibility of using these devices to build FET transistors with geometrically excellent
electrostatic control. The progress of CNTFET technology and the understanding of its device physics has
been very active this last decade.
Carbon nanotubes were first discovered in 1991, and became rapidly the focus of much research
activity, due to their exceptional electrical, mechanical, and thermal properties [4]. These devices, ideal
elementary components for the realization of nano-devices, have the possibility of being able to be
semiconductors or metal. This unique property makes the carbon nanotube an interesting candidate for the
manufacture of a new electronic component based on nanotubes,such as Carbon NanoTube Field Effect
Transistor called CNTFET [5]. CNTFET technology can be clubbed with bulk CMOS technology on a single
chip and uses the same infrastructure allowing to provide improvements in electrostatics over CMOS
technology. CNTFET transistors allow moore’s Law sustaining to ensure further improvement in MOSFET
performance. It is indispensable to look for an alternatives such as CNTFETs that give assurance to deliver
much better performance than existing MOSFETs [6].
 ISSN: 2088-8708
Int J Elec & Comp Eng, Vol. 8, No. 6, December 2018 : 4941 - 4950
4942
It is also important to recall that each new node has witnessed the integration of new materials and
process steps that will achieve the objectives of the ITRS roadmap of SC industries. We quote amongo thers
the integration of high-κ dielectrics that can reduces ignificantly the gate leakage. Mechanical strain applied
in the channel and substrate orientation also allow carrier mobility improvement, as well as the use of
alternative device geometries, such as double-gated devices. Of the several structures studied so far, CNTs
have shown particular promise due to their size and unique electronic properties. Lately CNTFETs have
been fabricated successfully [6].
In this paper, we have discussed the various simulation results [7] we have study the influence of
chirality and gate insulator thikness on (I-V) characteristics of CNTFET, and observes the parameter
changing eflect on it. Besides, further analysis has been done through the comparison of' the other group to
justify result.
2. CARBON NANOTUBE
Carbon nanotubes (CNTs) have attracted extensive attention because of their unique properties [8],
Carbon Nanotubes were discovered in 1991 by Sumio Iijima [9]. CNTs are made from cylindrical carbon
molecules [10], CNTsowning remarkable physical properties, are large macromolecules that are unique for
their size and shape. They are allotropes of carbon that are members of the fullerene structural family, which
includes the spherical bucky balls. These cylinders of carbone atoms arranged on a honey-comb lattice, as a
single layer of graphite and with almost the same nearest-neighbor C-C spacing that is ac-c = 1,44 A°.
CNTs are, in fact made by rolling up of sheet of graphene into a cylinder. A carbon nanotube is composed
of one or more graphene sheets rolled up on itself, describing a tubular geometry as shown in Figure 1. These
nanostructures are constructed with length-to-diameter ratio of up to 1.32 × 108,their diameter is in the order
of few nanometers [11]-[12]. CNTs are considered as very promising candidates in the field of
nanoelectronics, such as CNT-MOSFETs devices.
Depending on the number of concentrically rolled-up graphene sheets, carbone nanotubes are
classified to single-walled (SWNT), and multiwalled CNTs (MWNT), which consist of a single layer of
graphene sheet wrapped up to form a seamless tube [13], as presented in Figure 1.
Figure 1. Basic structures of (a) single-walled, and (b) multi-walled CNTs
SWNTs, presented here, are more pliable than MWNTs and can be, flattened, twisted and bent into
small circles or around sharp bends without breaking. SWNTsconsist of a single layer of graphene sheet
wrapped up to form a seamless tube. The diameter andthehelicity of a SWNT are defined by the roll-up
vector called chiral vector [14] given by:
𝐶⃗⃗⃗⃗ ℎ = 𝑛𝑎1 + 𝑚 𝑎2 (1)
This roll-up vector connects crystallographically equivalent sites on this sheet, it defines the
circumference on the surface of the tube connecting two equivalent carbon atoms as shown in Figure 2, a1
and a2 are the graphene lattice vectors.These unit vectors of the hexagonal latticecan be by [15] :
a1= (3/2ac-c,√3/2ac-c) (2)
a2= (3/2ac-c,√-3/2ac-c) (3)
Int J Elec & Comp Eng ISSN: 2088-8708 
Effect of Chirality and Oxide Thikness on the Performance of a Ballistic CNTFET (Asma Laribi)
4943
Figure 2. 2D graphene sheet illustrating lattice vectors a1 and a2, and the roll-up vector [14]
n and m are integers, they determine if a SWNT will be a metal or a semiconductor. They are also
called indexes also allow to determinethe chiral angle that is given by :
𝜃 = 𝑡𝑎𝑛−1
(
√3𝑛
2𝑚+𝑛
) (4)
The chiral angle θ is used to separate carbon nanotubes into three classes differentiated by their
electronic properties: zig-zag (m = 0, n > 0, θ = 0˚), armchair (n = m, θ = 30˚), and chiral (0 < |m| < n,
0 < θ < 30˚) can see in Figure 3.
Figure 3. Examples of the three types of SWNTs identified by the integers (n, m)
Armchair carbon nanotubes are metallic. Zig-zag and chiral nanotubes can be semi-metals with a
finite band gap if n – m/3 = integer and m ≠ n or semiconductors in all other cases. The band gap for the
semi-metallic and semiconductor nanotubes scales in the order of the inverse of the CNT diameter giving
each nanotube a distinctive electronic behavior. Each nanotube can be uniquely specified by its diameter’d’
and its chiral angle 𝜃. the diameter of the nanotube can be expressed as:
d = Ch/π=√3. 𝑎 𝑐−𝑐(𝑚2
+ 𝑚𝑛 + 𝑛2
)1/2
/𝜋] (5)
3. CNTFET STRUCURE
The first CNFETs where conceived in a very easiest way, as only a proof of concept and a basic
understand were the goals of these new devices.The first CNTFETs were reported in 1998.The first
generation of CNTs are given in Figure 4.
 ISSN: 2088-8708
Int J Elec & Comp Eng, Vol. 8, No. 6, December 2018 : 4941 - 4950
4944
Figure 4. First generation of CNFETs [16]-[17]
CNFETs are considered as a potential candidate to replace MOSFETS beyond the 11nm technology
node because of the good electrical transport properties of carbone nanotubes and also the feasibility of
using CNTs to conceive CNTFETs with a very good electrostatic control [18].
These simple devices were fabricated by depositing single-wall CNTs from solution on to oxidized
Silicon wafers that had been prepattemed using gold or platinum electrodes that served as source and drain
electrodes connected via the nanotube channel ,and the doped Si substrate served as the device gate [19]-[20].
The operating principle of the conventional field effect transistor based on carbon nanotube is very similar to
a MOSFET Transistor considering replacing the channel material to take advantage of ballistic transport in
the CNTs, where electrons are supplied by source terminal and drain terminal will collect these carriers
nevertheless, the arrangement keeps changing in order to improve the performance of the device.
Because of these unique fetures, CNTFETs become devices of special interest. Field effect
transistors made of carbon nanotubes so far can be classified into two 2 biggest classes: back-gated CNFETs
and top-gated ones [21]. Lately, a new structure has been introduced known as vertical CNFETs.
CNTFETs are also three terminals device like MOSFETs, the difference between these two field
effect devices is that CNTFETs employ the CNT as a channel between its source and its drain terminals
where as MOSFETs channel is made of doped Si. According to the number of layers in the channel of the
CNTFETs, this device can be Single Wall (SW) or Multi Wall (MW).
CNTFET devices have two modes of operation, the Schottky-Barrier (SB) or MOSFET-Like
CNTFETs. The structure between these two CNFET is only slightly different but results in different
transistor operation [22]. In the SB-CNTFETs the gate voltage modulates the current which flow in the
channel by changing the width of the barrier. But in MOSFET-Like CNTFETs the gate voltage can be
controlled in the drain current by changing the height of the barrier.
Figure 5. Cross sectional view of Schottky-barrier
CNFET [21]
Figure 6. Cross sectional view of MOSFET like
CNTFET [21]
4. CNTFETS SIMULATION MODEL
To investigate the chirality effects on our device DC performance, a simple two-dimension
alanalytical model for ballistic CNTFET isused and shown in Figure 8. Our simulation study is carried out
based on surface potential model described by Rhaman et al. This is an extension of the earlier work already
done by K. Natori. This model consists of three capacitors that areattached as terminals of the device. As
shown in Figure 8, a charge is placed at the top of the barrier.
Int J Elec & Comp Eng ISSN: 2088-8708 
Effect of Chirality and Oxide Thikness on the Performance of a Ballistic CNTFET (Asma Laribi)
4945
Figure 7. Cross sectional view of the CNTFET type Figure 8. 2D Capacitor model for ballistic transistor
N type [23]
The top of the barrier's local density of states noted LDOS indicates the charge by the self-consistent
potential. At the top of the barrier, the equilibrium electron density No is given by :
𝑁0 = ∫ 𝐷(𝐸)𝑓(𝐸 − 𝐸 𝐹)𝑑𝐸
+∞
−∞
(6)
where 𝑫(𝑬) is the local density of state at the top of the barrier and 𝐟(𝐄 − 𝐄 𝐅) represents the equilibrium
Fermi distribution function. The positive velocity states N1 are occupied by the source and the negative
velocity states N2 are occupied by the drain. N1 and N2 and are given by [24]:
𝑁1 =
𝐷(𝐸)
2
∫ 𝑓(𝐸 + 𝑈𝑠𝑐𝑓 − 𝐸 𝐹1)
−∞
+∞
𝑑𝐸 (7)
𝑁2 =
𝐷(𝐸)
2
∫ 𝑓(𝐸 + 𝑈𝑠𝑐𝑓 − 𝐸 𝐹2)
−∞
+∞
𝑑𝐸 (8)
EF1 and EF2 are Fermi levels and Uscf. Is the self-consistent potential at the top of the barrier.The Laplace
potential UL at the top of the barrier ignoring mobile charge in given by [18]: Calculate a Laplace potential
UL:
𝑈𝐿 = −𝑞(𝛼 𝐺 𝑉𝐺 + 𝛼 𝐷 𝑉𝐷 + 𝛼 𝑆 𝑉𝑆) (9)
Where: 𝜶 𝑮 =
𝑪 𝑮
𝑪 𝑻
,𝜶 𝑫 =
𝑪 𝑫
𝑪 𝑻
,𝜶 𝑺 =
𝑪 𝑺
𝑪 𝑻
CT is the parallel combination of three capacitors CG, CD, CS. The potential due to mobile charge Up can be
expressed by:
𝑈 𝑝 =
𝑞2
𝐶 𝑇
(𝑁1 + 𝑁2) − 𝑁0 (10)
The entire self-consistent potentialUscf is given by superposition of UL and UP potentials [18]:
𝑈𝑠𝑐𝑓 = 𝑈𝐿 + 𝑈 𝑃 (11)
𝑈𝑠𝑐𝑓 = −𝑞(∝ 𝐺 𝑉𝐺 + 𝛼 𝐷 𝑉𝐷 + 𝛼 𝑆 𝑉𝑆) +
𝑞2
𝐶 𝑇
(𝑁1 + 𝑁2) − 𝑁0 (12)
𝐼 𝐷 =
4𝑞𝑘 𝐵 𝑇
ℎ
[𝑙𝑛 (1 + 𝑒𝑥𝑝(𝐸 𝐹1 − 𝑈𝑠𝑐𝑓)) − 𝑙𝑛 (1 + 𝑒𝑥𝑝(𝐸 𝐹2 − 𝑈𝑠𝑐𝑓))] (13)
kB: is the Boltzmann constant, T: is an operating temperature ,EF: is the Fermi energy,Uscf: surface potential
and q the charge electric field.
5. RESULTS AND DISCUSSION
To investigate the performance of scaled carbone nanotube MOSFETs, we simulated a planar
CNTFET with a ballistic channel, at room temperature. The device simulated has a 10 nm SiO2 gate oxide
thickness. Different diameters, which results in different bandgap allowing different drain current are
simulated. We explore various issues by varying two parameters that are the chirality and the oxide thickness.
 ISSN: 2088-8708
Int J Elec & Comp Eng, Vol. 8, No. 6, December 2018 : 4941 - 4950
4946
5.1. Effect of chirality on the electrical device characteristics
In this section, we study the chirality effects on the CNTFETs’ characteristics, knowing that the
chirality (n, m) of SWNTs determines the diameter of CNT, and the CNT's energy gap. In this work SiO2
gate insulator (k=3.9) with 10 nm thikness is used, gate and drain control are (0.88 and 0.35) respectively, the
source fermi level is equal to -0.32 eVand operating temperature is 300°K. To investigate the influence of the
chirality on CNTFET we have simulated four CNTFETs with different diameters and obviousely different (n,
m) given in Table 1.
Table1. Chirality, diameter and enegy gap
Chirality (n,m) Diameter (nm) Energy gap
(5,0) 3.9e-10 2.17
(10,0) 7.8e-10 1.0
(19,0)
(26,0)
1.5e-09
2.0e-09
0.5
0.4
All simulation results allowing observing chirality influence on the drain current of our device are
given in Figure 10 – 13:
(a) (b)
Figure 9. The I-V characteristics of a (5-0) SWNT : (a) Ids –Vds (b) Ids-Vgs in logarithmic scale
(a) (b)
Figure 10. The I-V characteristics of a (10-0) SWNT: (a) Ids –Vds (b) Ids-Vgs in logarithmic scale
Int J Elec & Comp Eng ISSN: 2088-8708 
Effect of Chirality and Oxide Thikness on the Performance of a Ballistic CNTFET (Asma Laribi)
4947
(a) (b)
Figure 11. The I-V characteristics of a (19-0) SWNT: (a) Ids –Vds (b) Ids-Vgs in logarithmic scale
(a) (b)
Figure 12. The I-V characteristics of a (26-0) SWNT: (a) Ids –Vds (b) Ids-Vgsin logarithmic scale
Figure 13. Ids-Vds characteristics of CNTFETs with chiralities of (5, 0), (10, 0), and (19, 0), (26, 0)
(VG=0.6 V)
In this part we will explor the effect of chirality, the Figure 9, 10, 11, 12(a) shows that the chirality
is directly related to CNTs' diameter, and the diameter variation has a direct effect on the transistor and this is
indicated in equation 5, and the gap is inversely proportional to the diameter of the carbon nanotube. The
chirality has an impact on the devivce output current. Indeed, when the chirality increases the drain current
increases in Figure 10, for (n,m)= (5, 0) at VG=1V , drain current of 5µA has been obtained and for (n,m)=
(26, 0) a drain current of 24 µA has been obtained.It can be seen CNTFETs using carbon nanotube with
larger diameter have a higher drain current, I Figure 9, 10, 11, 12(b) the curves is shown in logarithmic scale
at gate voltage of 0.6 V the impact of chirality on Off current .
Table 2 gives the value for Ion and Ioff current we remark that when the chirality increase the value
of Ion current increase also. The diameter on CNT has specially effect on drain current (on –current),
automatically the ratio Ion/Ioff increase for (26,0) chirality.
 ISSN: 2088-8708
Int J Elec & Comp Eng, Vol. 8, No. 6, December 2018 : 4941 - 4950
4948
Table 2. Value of Ion and Ioff current corresponding to chirality
Chirality (n,m) Ion(μA) Ioff(μA) Ion/Ioff
(5,0) 2 3.8x10-5
0.5 x 105
(10,0) 3.5 3.8x10-5
0.9 x 105
(19,0)
(26,0)
5.8
7.8
3.8x10-5
3.8x10-5
1.5 x 105
2 x 105
5.2. Effect of oxide thikness
In this section the impact of oxide thikness on the output characteristic of CNTFET performance is
sImulated, the nanotube diameter will be fixed at 2 nm and the t is varied from 1-5 nm.
The Figure 14, 15, 16(a) show the drain current for differents oxide insulator in linear scale, we
observe that when the gate oxide thikness is thin the conductivity increase and the leakage current is not
increasing, from higher value from insulaor thikness the height of potential barrier becomes high is controlled
by the gate source voltage.
The Figure 14, 15, 16(b) show the drain current for differents oxide insulator in logarithm scale we
observe the influence on variance of insulator gate oxide thikness on current Ion, Ids (Ioff) is inchanged, we
conclude when the insulator thikness is reduced the ratio Ion/Ioff will increase.
(a) (b)
Figure 14. The I-V characteristics of oxide thikness t=3nm : (a) Ids –Vds (b) Ids-Vgs in logarithmic scale
(a) (b)
Figure 15. The I-V characteristics of oxide thikness t= 2 nm: (a) Ids –Vds (b) Ids-Vgs in logarithmic scale
Int J Elec & Comp Eng ISSN: 2088-8708 
Effect of Chirality and Oxide Thikness on the Performance of a Ballistic CNTFET (Asma Laribi)
4949
(a) (b)
Figure 16. The I-V characteristics of oxide thiknesst=1 nm: (a) Ids –Vds (b) Ids-Vgs in logarithmic scale
Figure 17. Effetct of oxide thikness on I-V
characteristics in linear scale
Figure 18. Variation of drain-source current (IDS)
drainsource voltage (VDS) for various gate
insulator thicknesses of CNTFET by Devi Dass,
Rakesh Prasher, Rakesh Vaid, This result justifies
the accuracy of our result [7]
From Table 3 we ramark that the Ion current is inversely propotionnel to the insulator thikness and
the leakage current is not affected by the gate insulator thiknessbu the ration Ion/Ioffis will increase when the
value of gate oxide thikness is decrease. Our simulation accuracy can be justified by investigating other
simulation result, the result is approximately equal compared with result in Figure 18.
Table 3. Value of Ion and Ioff current for oxyde thikness
Oxyde thikness (nm) Ion(μA) Ioff(μA) Ion/Ioff
1 36 3.8x10-5
9.4 x 105
2 18 3.8x10-5
4.7x 105
3
5
13
9
3.8x10-5
3.8x10-5
3.4 x 105
2.3 x 105
6. CONCLUSION
In this paper we have investigate the effect of chiraliy and gate oxide thikness on performance of
CNTFET device, I have analyse in the first part the influence of chirality on the output characteristics for
carbon nanotube field effect transistor. Through simulation result we have observed that when chirality
increases the current value increase and the ratio Ion/Ioff is proportionnel to the chirality.
From second part we have study the impact of gate oxide thikness on drain current we can observe
that the current is affected by the gate insulator thikness, the oxide thikness affects the Ion current but the Ioff
current remain stable. The accuracy of our result can be proved by comparing other research group work
which is identical. Analysis results conclude that the CNTFETs have the potential to be a successful
replacement of MOSFETs in nanoscale electronics.
 ISSN: 2088-8708
Int J Elec & Comp Eng, Vol. 8, No. 6, December 2018 : 4941 - 4950
4950
REFERENCES
[1] W. Ahmad and A. Anzer, “Modeling and simulation of ballistic carbon nanotube field effect transistors (cntfets)
with quantum transport concept and its application in nanoelectronics,” VSRD International Journal of Electrical,
Electronics & Communication Engineering, vol/issue: 3(7), 2013.
[2] L. Wei, et al., “Non iterative Compact Modelling for Intrinsic Carbon-Nanotube FETs: Quantum Capacitance and
Ballistic Transport,” IEEE Transactions on Electron Devices, vol/issue: 58(8), 2011.
[3] R. Sahoo and R. R. Mishra, “Simulations of Carbon Nanotube Field Effect Transistors,” International Journal of
Electronic Engineering Research, vol/issue: 1(2), pp. 117–125, 2009.
[4] L. S. Nasrat, et al., “Carbon Nanotubes Effect for Polymer Materials on Break Down Voltage,” International
Journal of Electrical and Computer Engineering (IJECE), vol/issue: 7(4), pp. 1770-1778, 2017.
[5] H. S. Philipwong and D. Akinwande, “Carbon Nanotube and Graphene Device Physics,” Cambridge University
Press, New York, 2011.
[6] R. Martel, et al., “Ambipolar Electrical Transport in Semiconducting Single-Wall Carbon Nanotubes,” Phys.
Rev.Lett, 2001.
[7] D. Dass, et al., “Impact of scaling gate insulator thickness on the performance of carbon nanotube field effect
transistors (cntfets),” Journal of nano- and electronic physics, vol/issue: 5(2), 2013.
[8] D. Zhang, et al., “Characterization of Multi-Walled Carbon Nanotube Film Sensor and Ethanol Gas-Sensing
Properties,” TELKOMNIKA, vol/issue: 11(1), pp. 55-62, 2013.
[9] C. Scoville, et al., “Carbon Nanotubes.”
[10] S. Nabizadeh, et al., “Numerical Study of CNT Micro Fin Array for Cooling Application,” Bulletin of Electrical
Engineering and Informatics, vol/issue: 2(4), pp. 233-239, 2013.
[11] M. Bozlar, “Modification de surface des nanotubes de carbone par un polymère conducteur électrogénéré pour la
réalisation de nanocomposites multifonctionnels,” Thèse doctorat, école centrale paris, 2007.
[12] S. Rizk, “Elaboration Et Caractérisation De Nanostructures Carbonees Par Procede Cvd Assiste Par Plasma Micro
onde,” Thèse doctorat, Université Henri Poincaré, Nancy I, 2009.
[13] A. Khial, et al., “On the DIBL Reduction Effect of Short Channel Carbon Nanotube Field Effect Transistors,”
International Journal of Electrical and Computer Engineering (IJECE), vol/issue: 6(4), pp. 1514-1521, 2016.
[14] A. Mouatsi., “Composants a heterostructures Application en nanoelectronique et nanophotonique,” These de
doctorat, Université de constantine 1, 2013.
[15] J. H. Lee and B. S. Lee, “Modal analysis of carbon nanotubes and nanocones using FEM,” Computational
Materials Science, vol. 51, pp. 30–42, 2012.
[16] Nanotube field-effect transistor. http://www.research.ibm.com/nanoscience/fet.html
[17] P. J. F. Harris, “Carbon nanotubes and related structures new materials for the twentyfirst century,” Cambridge
University Press, New York, 2004.
[18] L. Wei, et al., “Non iterative Compact Modelling for Intrinsic Carbon-Nanotube FETs: Quantum Capacitance and
Ballistic Transport,” IEEE Transactions on Electron Devices, vol/issue: 58(8), 2011.
[19] H. C. Chuan, “Modeling and Analysis of Ballistic Carbon Nanotube Field Effect Transistor (CNTFET) with
Quantum Transport Concept,” 2007.
[20] R. Rani, “Carbon Nano Tubes in Field Effect of Transistor,” International Journal of Innovative Research in
Computer and Communication Engineering, vol/issue: 4(2), 2016.
[21] S. Z. A., et al., “Comparison of the performance of ballistic schottky barrier Graphene Nanoribbon FET,” Bachelor
of Science, BRAC University, Bangladesh, 2014.
[22] S. A. Khan and M. Hasan, “Characterization of Carbon. Nanotube Field Effect Transistor,” Bachelor of Science,
Bangladesh, 2012.
[23] S. A. Khan, et al., “Investigation of CNTFET Performance with Gate Control Coefficient Effect,” Journal of nano-
and electronic physics, vol/issue: 6(2), 2014.
[24] D. Dass and R. Vaid, “Impact of SWCNT Band Gaps on the Performance of a Ballistic Carbon Nanotube Field
Effect Transistors (CNTFETs),” Journal of nano- and electronic physics, vol/issue: 9(4), 2017.

More Related Content

What's hot

Determination of solid material permittivity using T-ring resonator for food ...
Determination of solid material permittivity using T-ring resonator for food ...Determination of solid material permittivity using T-ring resonator for food ...
Determination of solid material permittivity using T-ring resonator for food ...TELKOMNIKA JOURNAL
 
Crimson Publishers-Performance Analysis of CNFET Based 6T SRAM
Crimson Publishers-Performance Analysis of CNFET Based 6T SRAMCrimson Publishers-Performance Analysis of CNFET Based 6T SRAM
Crimson Publishers-Performance Analysis of CNFET Based 6T SRAMCrimsonpublishers-Electronics
 
Consistently high Voc values in p-i-n type perovskite solar cells using Ni3+-...
Consistently high Voc values in p-i-n type perovskite solar cells using Ni3+-...Consistently high Voc values in p-i-n type perovskite solar cells using Ni3+-...
Consistently high Voc values in p-i-n type perovskite solar cells using Ni3+-...Pawan Kumar
 
Loss Quantization of Reflectarray Antenna Based on Organic Substrate Materials
Loss Quantization of Reflectarray Antenna Based on Organic Substrate MaterialsLoss Quantization of Reflectarray Antenna Based on Organic Substrate Materials
Loss Quantization of Reflectarray Antenna Based on Organic Substrate MaterialsTELKOMNIKA JOURNAL
 
Device simulation of perovskite solar cells with molybdenum disulfide as acti...
Device simulation of perovskite solar cells with molybdenum disulfide as acti...Device simulation of perovskite solar cells with molybdenum disulfide as acti...
Device simulation of perovskite solar cells with molybdenum disulfide as acti...journalBEEI
 
Wideband Modeling of Twisted-Pair Cables for MIMO Applications
Wideband Modeling of Twisted-Pair Cables for MIMO ApplicationsWideband Modeling of Twisted-Pair Cables for MIMO Applications
Wideband Modeling of Twisted-Pair Cables for MIMO ApplicationsLantiq
 
A Review and study of the design technique of Microstrip Patch Antenna Techno...
A Review and study of the design technique of Microstrip Patch Antenna Techno...A Review and study of the design technique of Microstrip Patch Antenna Techno...
A Review and study of the design technique of Microstrip Patch Antenna Techno...IJERA Editor
 
IRJET- Dual Band Cylindrical DRA with Carbon Nano Tube
IRJET- Dual Band Cylindrical DRA with Carbon Nano TubeIRJET- Dual Band Cylindrical DRA with Carbon Nano Tube
IRJET- Dual Band Cylindrical DRA with Carbon Nano TubeIRJET Journal
 
Graphene Nanoribbons
Graphene NanoribbonsGraphene Nanoribbons
Graphene NanoribbonsSoaib Safi
 
III-Nitride Semiconductors based Optical Power Splitter Device Design for und...
III-Nitride Semiconductors based Optical Power Splitter Device Design for und...III-Nitride Semiconductors based Optical Power Splitter Device Design for und...
III-Nitride Semiconductors based Optical Power Splitter Device Design for und...IJECEIAES
 
Time Domain Modelling of Optical Add-drop filter based on Microcavity Ring Re...
Time Domain Modelling of Optical Add-drop filter based on Microcavity Ring Re...Time Domain Modelling of Optical Add-drop filter based on Microcavity Ring Re...
Time Domain Modelling of Optical Add-drop filter based on Microcavity Ring Re...iosrjce
 
Electrodeposited pt on three dimensional interconnected graphene as a free st...
Electrodeposited pt on three dimensional interconnected graphene as a free st...Electrodeposited pt on three dimensional interconnected graphene as a free st...
Electrodeposited pt on three dimensional interconnected graphene as a free st...tshankar20134
 
Performance analysis of beam divergence propagation through rainwater and sno...
Performance analysis of beam divergence propagation through rainwater and sno...Performance analysis of beam divergence propagation through rainwater and sno...
Performance analysis of beam divergence propagation through rainwater and sno...journalBEEI
 
Performance analysis of cmos comparator and cntfet comparator design
Performance analysis of cmos comparator and cntfet comparator designPerformance analysis of cmos comparator and cntfet comparator design
Performance analysis of cmos comparator and cntfet comparator designeSAT Publishing House
 
Design and analysis of microstrip antenna with zig-zag feeder for wireless co...
Design and analysis of microstrip antenna with zig-zag feeder for wireless co...Design and analysis of microstrip antenna with zig-zag feeder for wireless co...
Design and analysis of microstrip antenna with zig-zag feeder for wireless co...journalBEEI
 
Analysis of Metamaterial Based Microstrip Array Antenna
Analysis of Metamaterial Based Microstrip Array AntennaAnalysis of Metamaterial Based Microstrip Array Antenna
Analysis of Metamaterial Based Microstrip Array Antennaijceronline
 
Concurrency Within Ternary Galois Processing of Highly-regular 3D Networks Vi...
Concurrency Within Ternary Galois Processing of Highly-regular 3D Networks Vi...Concurrency Within Ternary Galois Processing of Highly-regular 3D Networks Vi...
Concurrency Within Ternary Galois Processing of Highly-regular 3D Networks Vi...AIRCC Publishing Corporation
 

What's hot (19)

Determination of solid material permittivity using T-ring resonator for food ...
Determination of solid material permittivity using T-ring resonator for food ...Determination of solid material permittivity using T-ring resonator for food ...
Determination of solid material permittivity using T-ring resonator for food ...
 
I044064447
I044064447I044064447
I044064447
 
Crimson Publishers-Performance Analysis of CNFET Based 6T SRAM
Crimson Publishers-Performance Analysis of CNFET Based 6T SRAMCrimson Publishers-Performance Analysis of CNFET Based 6T SRAM
Crimson Publishers-Performance Analysis of CNFET Based 6T SRAM
 
Consistently high Voc values in p-i-n type perovskite solar cells using Ni3+-...
Consistently high Voc values in p-i-n type perovskite solar cells using Ni3+-...Consistently high Voc values in p-i-n type perovskite solar cells using Ni3+-...
Consistently high Voc values in p-i-n type perovskite solar cells using Ni3+-...
 
Loss Quantization of Reflectarray Antenna Based on Organic Substrate Materials
Loss Quantization of Reflectarray Antenna Based on Organic Substrate MaterialsLoss Quantization of Reflectarray Antenna Based on Organic Substrate Materials
Loss Quantization of Reflectarray Antenna Based on Organic Substrate Materials
 
CNT(INEC)
CNT(INEC)CNT(INEC)
CNT(INEC)
 
Device simulation of perovskite solar cells with molybdenum disulfide as acti...
Device simulation of perovskite solar cells with molybdenum disulfide as acti...Device simulation of perovskite solar cells with molybdenum disulfide as acti...
Device simulation of perovskite solar cells with molybdenum disulfide as acti...
 
Wideband Modeling of Twisted-Pair Cables for MIMO Applications
Wideband Modeling of Twisted-Pair Cables for MIMO ApplicationsWideband Modeling of Twisted-Pair Cables for MIMO Applications
Wideband Modeling of Twisted-Pair Cables for MIMO Applications
 
A Review and study of the design technique of Microstrip Patch Antenna Techno...
A Review and study of the design technique of Microstrip Patch Antenna Techno...A Review and study of the design technique of Microstrip Patch Antenna Techno...
A Review and study of the design technique of Microstrip Patch Antenna Techno...
 
IRJET- Dual Band Cylindrical DRA with Carbon Nano Tube
IRJET- Dual Band Cylindrical DRA with Carbon Nano TubeIRJET- Dual Band Cylindrical DRA with Carbon Nano Tube
IRJET- Dual Band Cylindrical DRA with Carbon Nano Tube
 
Graphene Nanoribbons
Graphene NanoribbonsGraphene Nanoribbons
Graphene Nanoribbons
 
III-Nitride Semiconductors based Optical Power Splitter Device Design for und...
III-Nitride Semiconductors based Optical Power Splitter Device Design for und...III-Nitride Semiconductors based Optical Power Splitter Device Design for und...
III-Nitride Semiconductors based Optical Power Splitter Device Design for und...
 
Time Domain Modelling of Optical Add-drop filter based on Microcavity Ring Re...
Time Domain Modelling of Optical Add-drop filter based on Microcavity Ring Re...Time Domain Modelling of Optical Add-drop filter based on Microcavity Ring Re...
Time Domain Modelling of Optical Add-drop filter based on Microcavity Ring Re...
 
Electrodeposited pt on three dimensional interconnected graphene as a free st...
Electrodeposited pt on three dimensional interconnected graphene as a free st...Electrodeposited pt on three dimensional interconnected graphene as a free st...
Electrodeposited pt on three dimensional interconnected graphene as a free st...
 
Performance analysis of beam divergence propagation through rainwater and sno...
Performance analysis of beam divergence propagation through rainwater and sno...Performance analysis of beam divergence propagation through rainwater and sno...
Performance analysis of beam divergence propagation through rainwater and sno...
 
Performance analysis of cmos comparator and cntfet comparator design
Performance analysis of cmos comparator and cntfet comparator designPerformance analysis of cmos comparator and cntfet comparator design
Performance analysis of cmos comparator and cntfet comparator design
 
Design and analysis of microstrip antenna with zig-zag feeder for wireless co...
Design and analysis of microstrip antenna with zig-zag feeder for wireless co...Design and analysis of microstrip antenna with zig-zag feeder for wireless co...
Design and analysis of microstrip antenna with zig-zag feeder for wireless co...
 
Analysis of Metamaterial Based Microstrip Array Antenna
Analysis of Metamaterial Based Microstrip Array AntennaAnalysis of Metamaterial Based Microstrip Array Antenna
Analysis of Metamaterial Based Microstrip Array Antenna
 
Concurrency Within Ternary Galois Processing of Highly-regular 3D Networks Vi...
Concurrency Within Ternary Galois Processing of Highly-regular 3D Networks Vi...Concurrency Within Ternary Galois Processing of Highly-regular 3D Networks Vi...
Concurrency Within Ternary Galois Processing of Highly-regular 3D Networks Vi...
 

Similar to Effect of Chirality and Oxide Thikness on the Performance of a Ballistic CNTFET

Carbon Nanotube Based Circuit Designing: A Review
Carbon Nanotube Based Circuit Designing: A ReviewCarbon Nanotube Based Circuit Designing: A Review
Carbon Nanotube Based Circuit Designing: A ReviewIJERDJOURNAL
 
Carbon nanotube field-effect transistor - Wikipedia.pdf
Carbon nanotube field-effect transistor - Wikipedia.pdfCarbon nanotube field-effect transistor - Wikipedia.pdf
Carbon nanotube field-effect transistor - Wikipedia.pdfSANTHOSH57966
 
CNTFET Based Analog and Digital Circuit Designing: A Review
CNTFET Based Analog and Digital Circuit Designing: A ReviewCNTFET Based Analog and Digital Circuit Designing: A Review
CNTFET Based Analog and Digital Circuit Designing: A ReviewIJMERJOURNAL
 
A Comparative Performance Analysis of Copper on Chip and CNTFET Nano Intercon...
A Comparative Performance Analysis of Copper on Chip and CNTFET Nano Intercon...A Comparative Performance Analysis of Copper on Chip and CNTFET Nano Intercon...
A Comparative Performance Analysis of Copper on Chip and CNTFET Nano Intercon...IRJET Journal
 
Band structure of metallic single-walled carbon nanotubes
Band structure of metallic single-walled carbon nanotubesBand structure of metallic single-walled carbon nanotubes
Band structure of metallic single-walled carbon nanotubesIRJET Journal
 
Performance analysis of cntfet and mosfet focusing channel length, carrier mo...
Performance analysis of cntfet and mosfet focusing channel length, carrier mo...Performance analysis of cntfet and mosfet focusing channel length, carrier mo...
Performance analysis of cntfet and mosfet focusing channel length, carrier mo...IJAMSE Journal
 
Overview of carbon nanotubes cnts novelof applications as microelectronics op...
Overview of carbon nanotubes cnts novelof applications as microelectronics op...Overview of carbon nanotubes cnts novelof applications as microelectronics op...
Overview of carbon nanotubes cnts novelof applications as microelectronics op...IAEME Publication
 
Bda20402 project material selection latest
Bda20402 project material selection latestBda20402 project material selection latest
Bda20402 project material selection latestParthibanraj Selvaraj
 
Seminar on Carbon Nanotubes
Seminar on Carbon NanotubesSeminar on Carbon Nanotubes
Seminar on Carbon NanotubesAmrita Guha
 
CNT(Microelectron. Reliab)
CNT(Microelectron. Reliab)CNT(Microelectron. Reliab)
CNT(Microelectron. Reliab)Wei-Chih Chiu
 
Bandwidth Optimization of Single-walled Carbon Nanotube Dipole Antenna at GHz...
Bandwidth Optimization of Single-walled Carbon Nanotube Dipole Antenna at GHz...Bandwidth Optimization of Single-walled Carbon Nanotube Dipole Antenna at GHz...
Bandwidth Optimization of Single-walled Carbon Nanotube Dipole Antenna at GHz...IJAEMSJORNAL
 
Carbon Nano tubes and its Applications in the Field of Electronics and Comput...
Carbon Nano tubes and its Applications in the Field of Electronics and Comput...Carbon Nano tubes and its Applications in the Field of Electronics and Comput...
Carbon Nano tubes and its Applications in the Field of Electronics and Comput...ijsrd.com
 
Review on Molecular Dynamics Simulations of Effects of Carbon Nanotubes (CNTs...
Review on Molecular Dynamics Simulations of Effects of Carbon Nanotubes (CNTs...Review on Molecular Dynamics Simulations of Effects of Carbon Nanotubes (CNTs...
Review on Molecular Dynamics Simulations of Effects of Carbon Nanotubes (CNTs...LidaN16
 
Dual-Diameter Variation –Immune CNFET-based 7T SRAM Cell
Dual-Diameter Variation –Immune CNFET-based 7T SRAM CellDual-Diameter Variation –Immune CNFET-based 7T SRAM Cell
Dual-Diameter Variation –Immune CNFET-based 7T SRAM CellWaqas Tariq
 
Designing High-Speed, Low-Power Full Adder Cells Based on Carbon Nanotube Tec...
Designing High-Speed, Low-Power Full Adder Cells Based on Carbon Nanotube Tec...Designing High-Speed, Low-Power Full Adder Cells Based on Carbon Nanotube Tec...
Designing High-Speed, Low-Power Full Adder Cells Based on Carbon Nanotube Tec...VLSICS Design
 
Performance evaluation of reversible logic based cntfet demultiplexer 2
Performance evaluation of reversible logic based cntfet demultiplexer 2Performance evaluation of reversible logic based cntfet demultiplexer 2
Performance evaluation of reversible logic based cntfet demultiplexer 2IAEME Publication
 
Performance evaluation of reversible logic based cntfet demultiplexer 2
Performance evaluation of reversible logic based cntfet demultiplexer 2Performance evaluation of reversible logic based cntfet demultiplexer 2
Performance evaluation of reversible logic based cntfet demultiplexer 2IAEME Publication
 
CNT BASED CELL BY MOHD SAFIL BEG
CNT BASED CELL BY MOHD SAFIL BEGCNT BASED CELL BY MOHD SAFIL BEG
CNT BASED CELL BY MOHD SAFIL BEGSafil Beg
 
CNT based cell Seminar
CNT based cell SeminarCNT based cell Seminar
CNT based cell SeminarSafil Beg
 

Similar to Effect of Chirality and Oxide Thikness on the Performance of a Ballistic CNTFET (20)

Carbon Nanotube Based Circuit Designing: A Review
Carbon Nanotube Based Circuit Designing: A ReviewCarbon Nanotube Based Circuit Designing: A Review
Carbon Nanotube Based Circuit Designing: A Review
 
Carbon nanotube field-effect transistor - Wikipedia.pdf
Carbon nanotube field-effect transistor - Wikipedia.pdfCarbon nanotube field-effect transistor - Wikipedia.pdf
Carbon nanotube field-effect transistor - Wikipedia.pdf
 
CNTFET Based Analog and Digital Circuit Designing: A Review
CNTFET Based Analog and Digital Circuit Designing: A ReviewCNTFET Based Analog and Digital Circuit Designing: A Review
CNTFET Based Analog and Digital Circuit Designing: A Review
 
A Comparative Performance Analysis of Copper on Chip and CNTFET Nano Intercon...
A Comparative Performance Analysis of Copper on Chip and CNTFET Nano Intercon...A Comparative Performance Analysis of Copper on Chip and CNTFET Nano Intercon...
A Comparative Performance Analysis of Copper on Chip and CNTFET Nano Intercon...
 
Carbon nantubes basics
Carbon nantubes basicsCarbon nantubes basics
Carbon nantubes basics
 
Band structure of metallic single-walled carbon nanotubes
Band structure of metallic single-walled carbon nanotubesBand structure of metallic single-walled carbon nanotubes
Band structure of metallic single-walled carbon nanotubes
 
Performance analysis of cntfet and mosfet focusing channel length, carrier mo...
Performance analysis of cntfet and mosfet focusing channel length, carrier mo...Performance analysis of cntfet and mosfet focusing channel length, carrier mo...
Performance analysis of cntfet and mosfet focusing channel length, carrier mo...
 
Overview of carbon nanotubes cnts novelof applications as microelectronics op...
Overview of carbon nanotubes cnts novelof applications as microelectronics op...Overview of carbon nanotubes cnts novelof applications as microelectronics op...
Overview of carbon nanotubes cnts novelof applications as microelectronics op...
 
Bda20402 project material selection latest
Bda20402 project material selection latestBda20402 project material selection latest
Bda20402 project material selection latest
 
Seminar on Carbon Nanotubes
Seminar on Carbon NanotubesSeminar on Carbon Nanotubes
Seminar on Carbon Nanotubes
 
CNT(Microelectron. Reliab)
CNT(Microelectron. Reliab)CNT(Microelectron. Reliab)
CNT(Microelectron. Reliab)
 
Bandwidth Optimization of Single-walled Carbon Nanotube Dipole Antenna at GHz...
Bandwidth Optimization of Single-walled Carbon Nanotube Dipole Antenna at GHz...Bandwidth Optimization of Single-walled Carbon Nanotube Dipole Antenna at GHz...
Bandwidth Optimization of Single-walled Carbon Nanotube Dipole Antenna at GHz...
 
Carbon Nano tubes and its Applications in the Field of Electronics and Comput...
Carbon Nano tubes and its Applications in the Field of Electronics and Comput...Carbon Nano tubes and its Applications in the Field of Electronics and Comput...
Carbon Nano tubes and its Applications in the Field of Electronics and Comput...
 
Review on Molecular Dynamics Simulations of Effects of Carbon Nanotubes (CNTs...
Review on Molecular Dynamics Simulations of Effects of Carbon Nanotubes (CNTs...Review on Molecular Dynamics Simulations of Effects of Carbon Nanotubes (CNTs...
Review on Molecular Dynamics Simulations of Effects of Carbon Nanotubes (CNTs...
 
Dual-Diameter Variation –Immune CNFET-based 7T SRAM Cell
Dual-Diameter Variation –Immune CNFET-based 7T SRAM CellDual-Diameter Variation –Immune CNFET-based 7T SRAM Cell
Dual-Diameter Variation –Immune CNFET-based 7T SRAM Cell
 
Designing High-Speed, Low-Power Full Adder Cells Based on Carbon Nanotube Tec...
Designing High-Speed, Low-Power Full Adder Cells Based on Carbon Nanotube Tec...Designing High-Speed, Low-Power Full Adder Cells Based on Carbon Nanotube Tec...
Designing High-Speed, Low-Power Full Adder Cells Based on Carbon Nanotube Tec...
 
Performance evaluation of reversible logic based cntfet demultiplexer 2
Performance evaluation of reversible logic based cntfet demultiplexer 2Performance evaluation of reversible logic based cntfet demultiplexer 2
Performance evaluation of reversible logic based cntfet demultiplexer 2
 
Performance evaluation of reversible logic based cntfet demultiplexer 2
Performance evaluation of reversible logic based cntfet demultiplexer 2Performance evaluation of reversible logic based cntfet demultiplexer 2
Performance evaluation of reversible logic based cntfet demultiplexer 2
 
CNT BASED CELL BY MOHD SAFIL BEG
CNT BASED CELL BY MOHD SAFIL BEGCNT BASED CELL BY MOHD SAFIL BEG
CNT BASED CELL BY MOHD SAFIL BEG
 
CNT based cell Seminar
CNT based cell SeminarCNT based cell Seminar
CNT based cell Seminar
 

More from IJECEIAES

Cloud service ranking with an integration of k-means algorithm and decision-m...
Cloud service ranking with an integration of k-means algorithm and decision-m...Cloud service ranking with an integration of k-means algorithm and decision-m...
Cloud service ranking with an integration of k-means algorithm and decision-m...IJECEIAES
 
Prediction of the risk of developing heart disease using logistic regression
Prediction of the risk of developing heart disease using logistic regressionPrediction of the risk of developing heart disease using logistic regression
Prediction of the risk of developing heart disease using logistic regressionIJECEIAES
 
Predictive analysis of terrorist activities in Thailand's Southern provinces:...
Predictive analysis of terrorist activities in Thailand's Southern provinces:...Predictive analysis of terrorist activities in Thailand's Southern provinces:...
Predictive analysis of terrorist activities in Thailand's Southern provinces:...IJECEIAES
 
Optimal model of vehicular ad-hoc network assisted by unmanned aerial vehicl...
Optimal model of vehicular ad-hoc network assisted by  unmanned aerial vehicl...Optimal model of vehicular ad-hoc network assisted by  unmanned aerial vehicl...
Optimal model of vehicular ad-hoc network assisted by unmanned aerial vehicl...IJECEIAES
 
Improving cyberbullying detection through multi-level machine learning
Improving cyberbullying detection through multi-level machine learningImproving cyberbullying detection through multi-level machine learning
Improving cyberbullying detection through multi-level machine learningIJECEIAES
 
Comparison of time series temperature prediction with autoregressive integrat...
Comparison of time series temperature prediction with autoregressive integrat...Comparison of time series temperature prediction with autoregressive integrat...
Comparison of time series temperature prediction with autoregressive integrat...IJECEIAES
 
Strengthening data integrity in academic document recording with blockchain a...
Strengthening data integrity in academic document recording with blockchain a...Strengthening data integrity in academic document recording with blockchain a...
Strengthening data integrity in academic document recording with blockchain a...IJECEIAES
 
Design of storage benchmark kit framework for supporting the file storage ret...
Design of storage benchmark kit framework for supporting the file storage ret...Design of storage benchmark kit framework for supporting the file storage ret...
Design of storage benchmark kit framework for supporting the file storage ret...IJECEIAES
 
Detection of diseases in rice leaf using convolutional neural network with tr...
Detection of diseases in rice leaf using convolutional neural network with tr...Detection of diseases in rice leaf using convolutional neural network with tr...
Detection of diseases in rice leaf using convolutional neural network with tr...IJECEIAES
 
A systematic review of in-memory database over multi-tenancy
A systematic review of in-memory database over multi-tenancyA systematic review of in-memory database over multi-tenancy
A systematic review of in-memory database over multi-tenancyIJECEIAES
 
Agriculture crop yield prediction using inertia based cat swarm optimization
Agriculture crop yield prediction using inertia based cat swarm optimizationAgriculture crop yield prediction using inertia based cat swarm optimization
Agriculture crop yield prediction using inertia based cat swarm optimizationIJECEIAES
 
Three layer hybrid learning to improve intrusion detection system performance
Three layer hybrid learning to improve intrusion detection system performanceThree layer hybrid learning to improve intrusion detection system performance
Three layer hybrid learning to improve intrusion detection system performanceIJECEIAES
 
Non-binary codes approach on the performance of short-packet full-duplex tran...
Non-binary codes approach on the performance of short-packet full-duplex tran...Non-binary codes approach on the performance of short-packet full-duplex tran...
Non-binary codes approach on the performance of short-packet full-duplex tran...IJECEIAES
 
Improved design and performance of the global rectenna system for wireless po...
Improved design and performance of the global rectenna system for wireless po...Improved design and performance of the global rectenna system for wireless po...
Improved design and performance of the global rectenna system for wireless po...IJECEIAES
 
Advanced hybrid algorithms for precise multipath channel estimation in next-g...
Advanced hybrid algorithms for precise multipath channel estimation in next-g...Advanced hybrid algorithms for precise multipath channel estimation in next-g...
Advanced hybrid algorithms for precise multipath channel estimation in next-g...IJECEIAES
 
Performance analysis of 2D optical code division multiple access through unde...
Performance analysis of 2D optical code division multiple access through unde...Performance analysis of 2D optical code division multiple access through unde...
Performance analysis of 2D optical code division multiple access through unde...IJECEIAES
 
On performance analysis of non-orthogonal multiple access downlink for cellul...
On performance analysis of non-orthogonal multiple access downlink for cellul...On performance analysis of non-orthogonal multiple access downlink for cellul...
On performance analysis of non-orthogonal multiple access downlink for cellul...IJECEIAES
 
Phase delay through slot-line beam switching microstrip patch array antenna d...
Phase delay through slot-line beam switching microstrip patch array antenna d...Phase delay through slot-line beam switching microstrip patch array antenna d...
Phase delay through slot-line beam switching microstrip patch array antenna d...IJECEIAES
 
A simple feed orthogonal excitation X-band dual circular polarized microstrip...
A simple feed orthogonal excitation X-band dual circular polarized microstrip...A simple feed orthogonal excitation X-band dual circular polarized microstrip...
A simple feed orthogonal excitation X-band dual circular polarized microstrip...IJECEIAES
 
A taxonomy on power optimization techniques for fifthgeneration heterogenous ...
A taxonomy on power optimization techniques for fifthgeneration heterogenous ...A taxonomy on power optimization techniques for fifthgeneration heterogenous ...
A taxonomy on power optimization techniques for fifthgeneration heterogenous ...IJECEIAES
 

More from IJECEIAES (20)

Cloud service ranking with an integration of k-means algorithm and decision-m...
Cloud service ranking with an integration of k-means algorithm and decision-m...Cloud service ranking with an integration of k-means algorithm and decision-m...
Cloud service ranking with an integration of k-means algorithm and decision-m...
 
Prediction of the risk of developing heart disease using logistic regression
Prediction of the risk of developing heart disease using logistic regressionPrediction of the risk of developing heart disease using logistic regression
Prediction of the risk of developing heart disease using logistic regression
 
Predictive analysis of terrorist activities in Thailand's Southern provinces:...
Predictive analysis of terrorist activities in Thailand's Southern provinces:...Predictive analysis of terrorist activities in Thailand's Southern provinces:...
Predictive analysis of terrorist activities in Thailand's Southern provinces:...
 
Optimal model of vehicular ad-hoc network assisted by unmanned aerial vehicl...
Optimal model of vehicular ad-hoc network assisted by  unmanned aerial vehicl...Optimal model of vehicular ad-hoc network assisted by  unmanned aerial vehicl...
Optimal model of vehicular ad-hoc network assisted by unmanned aerial vehicl...
 
Improving cyberbullying detection through multi-level machine learning
Improving cyberbullying detection through multi-level machine learningImproving cyberbullying detection through multi-level machine learning
Improving cyberbullying detection through multi-level machine learning
 
Comparison of time series temperature prediction with autoregressive integrat...
Comparison of time series temperature prediction with autoregressive integrat...Comparison of time series temperature prediction with autoregressive integrat...
Comparison of time series temperature prediction with autoregressive integrat...
 
Strengthening data integrity in academic document recording with blockchain a...
Strengthening data integrity in academic document recording with blockchain a...Strengthening data integrity in academic document recording with blockchain a...
Strengthening data integrity in academic document recording with blockchain a...
 
Design of storage benchmark kit framework for supporting the file storage ret...
Design of storage benchmark kit framework for supporting the file storage ret...Design of storage benchmark kit framework for supporting the file storage ret...
Design of storage benchmark kit framework for supporting the file storage ret...
 
Detection of diseases in rice leaf using convolutional neural network with tr...
Detection of diseases in rice leaf using convolutional neural network with tr...Detection of diseases in rice leaf using convolutional neural network with tr...
Detection of diseases in rice leaf using convolutional neural network with tr...
 
A systematic review of in-memory database over multi-tenancy
A systematic review of in-memory database over multi-tenancyA systematic review of in-memory database over multi-tenancy
A systematic review of in-memory database over multi-tenancy
 
Agriculture crop yield prediction using inertia based cat swarm optimization
Agriculture crop yield prediction using inertia based cat swarm optimizationAgriculture crop yield prediction using inertia based cat swarm optimization
Agriculture crop yield prediction using inertia based cat swarm optimization
 
Three layer hybrid learning to improve intrusion detection system performance
Three layer hybrid learning to improve intrusion detection system performanceThree layer hybrid learning to improve intrusion detection system performance
Three layer hybrid learning to improve intrusion detection system performance
 
Non-binary codes approach on the performance of short-packet full-duplex tran...
Non-binary codes approach on the performance of short-packet full-duplex tran...Non-binary codes approach on the performance of short-packet full-duplex tran...
Non-binary codes approach on the performance of short-packet full-duplex tran...
 
Improved design and performance of the global rectenna system for wireless po...
Improved design and performance of the global rectenna system for wireless po...Improved design and performance of the global rectenna system for wireless po...
Improved design and performance of the global rectenna system for wireless po...
 
Advanced hybrid algorithms for precise multipath channel estimation in next-g...
Advanced hybrid algorithms for precise multipath channel estimation in next-g...Advanced hybrid algorithms for precise multipath channel estimation in next-g...
Advanced hybrid algorithms for precise multipath channel estimation in next-g...
 
Performance analysis of 2D optical code division multiple access through unde...
Performance analysis of 2D optical code division multiple access through unde...Performance analysis of 2D optical code division multiple access through unde...
Performance analysis of 2D optical code division multiple access through unde...
 
On performance analysis of non-orthogonal multiple access downlink for cellul...
On performance analysis of non-orthogonal multiple access downlink for cellul...On performance analysis of non-orthogonal multiple access downlink for cellul...
On performance analysis of non-orthogonal multiple access downlink for cellul...
 
Phase delay through slot-line beam switching microstrip patch array antenna d...
Phase delay through slot-line beam switching microstrip patch array antenna d...Phase delay through slot-line beam switching microstrip patch array antenna d...
Phase delay through slot-line beam switching microstrip patch array antenna d...
 
A simple feed orthogonal excitation X-band dual circular polarized microstrip...
A simple feed orthogonal excitation X-band dual circular polarized microstrip...A simple feed orthogonal excitation X-band dual circular polarized microstrip...
A simple feed orthogonal excitation X-band dual circular polarized microstrip...
 
A taxonomy on power optimization techniques for fifthgeneration heterogenous ...
A taxonomy on power optimization techniques for fifthgeneration heterogenous ...A taxonomy on power optimization techniques for fifthgeneration heterogenous ...
A taxonomy on power optimization techniques for fifthgeneration heterogenous ...
 

Recently uploaded

complete construction, environmental and economics information of biomass com...
complete construction, environmental and economics information of biomass com...complete construction, environmental and economics information of biomass com...
complete construction, environmental and economics information of biomass com...asadnawaz62
 
Artificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptxArtificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptxbritheesh05
 
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdfCCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdfAsst.prof M.Gokilavani
 
Internship report on mechanical engineering
Internship report on mechanical engineeringInternship report on mechanical engineering
Internship report on mechanical engineeringmalavadedarshan25
 
Introduction to Machine Learning Unit-3 for II MECH
Introduction to Machine Learning Unit-3 for II MECHIntroduction to Machine Learning Unit-3 for II MECH
Introduction to Machine Learning Unit-3 for II MECHC Sai Kiran
 
Risk Assessment For Installation of Drainage Pipes.pdf
Risk Assessment For Installation of Drainage Pipes.pdfRisk Assessment For Installation of Drainage Pipes.pdf
Risk Assessment For Installation of Drainage Pipes.pdfROCENODodongVILLACER
 
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptxDecoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptxJoão Esperancinha
 
Oxy acetylene welding presentation note.
Oxy acetylene welding presentation note.Oxy acetylene welding presentation note.
Oxy acetylene welding presentation note.eptoze12
 
Introduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptxIntroduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptxk795866
 
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube ExchangerStudy on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube ExchangerAnamika Sarkar
 
An experimental study in using natural admixture as an alternative for chemic...
An experimental study in using natural admixture as an alternative for chemic...An experimental study in using natural admixture as an alternative for chemic...
An experimental study in using natural admixture as an alternative for chemic...Chandu841456
 
EduAI - E learning Platform integrated with AI
EduAI - E learning Platform integrated with AIEduAI - E learning Platform integrated with AI
EduAI - E learning Platform integrated with AIkoyaldeepu123
 
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...VICTOR MAESTRE RAMIREZ
 
Call Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call GirlsCall Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call Girlsssuser7cb4ff
 
DATA ANALYTICS PPT definition usage example
DATA ANALYTICS PPT definition usage exampleDATA ANALYTICS PPT definition usage example
DATA ANALYTICS PPT definition usage examplePragyanshuParadkar1
 
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdfCCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdfAsst.prof M.Gokilavani
 
IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024Mark Billinghurst
 
Sachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective IntroductionSachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective IntroductionDr.Costas Sachpazis
 
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IVHARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IVRajaP95
 
What are the advantages and disadvantages of membrane structures.pptx
What are the advantages and disadvantages of membrane structures.pptxWhat are the advantages and disadvantages of membrane structures.pptx
What are the advantages and disadvantages of membrane structures.pptxwendy cai
 

Recently uploaded (20)

complete construction, environmental and economics information of biomass com...
complete construction, environmental and economics information of biomass com...complete construction, environmental and economics information of biomass com...
complete construction, environmental and economics information of biomass com...
 
Artificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptxArtificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptx
 
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdfCCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
 
Internship report on mechanical engineering
Internship report on mechanical engineeringInternship report on mechanical engineering
Internship report on mechanical engineering
 
Introduction to Machine Learning Unit-3 for II MECH
Introduction to Machine Learning Unit-3 for II MECHIntroduction to Machine Learning Unit-3 for II MECH
Introduction to Machine Learning Unit-3 for II MECH
 
Risk Assessment For Installation of Drainage Pipes.pdf
Risk Assessment For Installation of Drainage Pipes.pdfRisk Assessment For Installation of Drainage Pipes.pdf
Risk Assessment For Installation of Drainage Pipes.pdf
 
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptxDecoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
 
Oxy acetylene welding presentation note.
Oxy acetylene welding presentation note.Oxy acetylene welding presentation note.
Oxy acetylene welding presentation note.
 
Introduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptxIntroduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptx
 
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube ExchangerStudy on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
 
An experimental study in using natural admixture as an alternative for chemic...
An experimental study in using natural admixture as an alternative for chemic...An experimental study in using natural admixture as an alternative for chemic...
An experimental study in using natural admixture as an alternative for chemic...
 
EduAI - E learning Platform integrated with AI
EduAI - E learning Platform integrated with AIEduAI - E learning Platform integrated with AI
EduAI - E learning Platform integrated with AI
 
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...
 
Call Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call GirlsCall Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call Girls
 
DATA ANALYTICS PPT definition usage example
DATA ANALYTICS PPT definition usage exampleDATA ANALYTICS PPT definition usage example
DATA ANALYTICS PPT definition usage example
 
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdfCCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
 
IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024
 
Sachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective IntroductionSachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
 
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IVHARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
 
What are the advantages and disadvantages of membrane structures.pptx
What are the advantages and disadvantages of membrane structures.pptxWhat are the advantages and disadvantages of membrane structures.pptx
What are the advantages and disadvantages of membrane structures.pptx
 

Effect of Chirality and Oxide Thikness on the Performance of a Ballistic CNTFET

  • 1. International Journal of Electrical and Computer Engineering (IJECE) Vol. 8, No. 6, December 2018, pp. 4941~4950 ISSN: 2088-8708, DOI: 10.11591/ijece.v8i6.pp4941-4950  4941 Journal homepage: http://iaescore.com/journals/index.php/IJECE Effect of Chirality and Oxide Thikness on the Performance of a Ballistic CNTFET Asma Laribi, Ahlam Guen Bouazza Unit of Research Materials and Renewable Energies, Department of Electronics, Faculty of Technology, University Abou-BakrBelkaid, Algeria Article Info ABSTRACT Article history: Received Dec 29, 2017 Revised Jul 8, 2018 Accepted Jul 24, 2018 Since the discovery of 1D nano-object, they are constantly revealing significant physical properties. In this regard, carbon nanotube (CNT) is considered as a promising candidate for application in future nanoelectronics devices like carbon nanotube field effect transistor (CNTFET). In this work, the impact of chirality and gate oxide thikness on the electrical characteristics of a CNTFET are studied. The chiralities used are (5, 0), (10, 0), (19, 0), (26, 0), and the gate oxide thikness varied from 1 to 5 nm. This work is based on a numerical simulation program based on surface potential model. CNTFET Modeling is useful for semiconductor industries for nano scale devices manufacturing. From our results we have observed that the output current increases with chirality increasing. We have also highlighted the importance of the gate oxide thickness on the drain current that increases when gate oxide is thin. Keyword: Chyrality Cnt Cntfet Gate oxyde thikness Numerical simultion Copyright © 2018 Institute of Advanced Engineering and Science. All rights reserved. Corresponding Author: Asma Laribi, Unit of Research Materials and Renewable Energies, University Abou-Bakr Belkaid, Tlemcen, Algeria BP 330 Tlemcen. Email: lar_asma@yahoo.fr 1. INTRODUCTION The progress in silicon technology continues to outpace the historic pace of Moore's Law, but the end of device scaling now seems to be only 10-15 years away [1]. A new alternative appears to overcome all these limitations. One of the most promising areas of research in the improvement of transistors performance is the use of carbon nanotubes (CNTs) that is considered today as the most important new materials with excellent properties [2] beyond the 11-nm technology node due to its superior electrical properties of CNTs [3] and the feasibility of using these devices to build FET transistors with geometrically excellent electrostatic control. The progress of CNTFET technology and the understanding of its device physics has been very active this last decade. Carbon nanotubes were first discovered in 1991, and became rapidly the focus of much research activity, due to their exceptional electrical, mechanical, and thermal properties [4]. These devices, ideal elementary components for the realization of nano-devices, have the possibility of being able to be semiconductors or metal. This unique property makes the carbon nanotube an interesting candidate for the manufacture of a new electronic component based on nanotubes,such as Carbon NanoTube Field Effect Transistor called CNTFET [5]. CNTFET technology can be clubbed with bulk CMOS technology on a single chip and uses the same infrastructure allowing to provide improvements in electrostatics over CMOS technology. CNTFET transistors allow moore’s Law sustaining to ensure further improvement in MOSFET performance. It is indispensable to look for an alternatives such as CNTFETs that give assurance to deliver much better performance than existing MOSFETs [6].
  • 2.  ISSN: 2088-8708 Int J Elec & Comp Eng, Vol. 8, No. 6, December 2018 : 4941 - 4950 4942 It is also important to recall that each new node has witnessed the integration of new materials and process steps that will achieve the objectives of the ITRS roadmap of SC industries. We quote amongo thers the integration of high-κ dielectrics that can reduces ignificantly the gate leakage. Mechanical strain applied in the channel and substrate orientation also allow carrier mobility improvement, as well as the use of alternative device geometries, such as double-gated devices. Of the several structures studied so far, CNTs have shown particular promise due to their size and unique electronic properties. Lately CNTFETs have been fabricated successfully [6]. In this paper, we have discussed the various simulation results [7] we have study the influence of chirality and gate insulator thikness on (I-V) characteristics of CNTFET, and observes the parameter changing eflect on it. Besides, further analysis has been done through the comparison of' the other group to justify result. 2. CARBON NANOTUBE Carbon nanotubes (CNTs) have attracted extensive attention because of their unique properties [8], Carbon Nanotubes were discovered in 1991 by Sumio Iijima [9]. CNTs are made from cylindrical carbon molecules [10], CNTsowning remarkable physical properties, are large macromolecules that are unique for their size and shape. They are allotropes of carbon that are members of the fullerene structural family, which includes the spherical bucky balls. These cylinders of carbone atoms arranged on a honey-comb lattice, as a single layer of graphite and with almost the same nearest-neighbor C-C spacing that is ac-c = 1,44 A°. CNTs are, in fact made by rolling up of sheet of graphene into a cylinder. A carbon nanotube is composed of one or more graphene sheets rolled up on itself, describing a tubular geometry as shown in Figure 1. These nanostructures are constructed with length-to-diameter ratio of up to 1.32 × 108,their diameter is in the order of few nanometers [11]-[12]. CNTs are considered as very promising candidates in the field of nanoelectronics, such as CNT-MOSFETs devices. Depending on the number of concentrically rolled-up graphene sheets, carbone nanotubes are classified to single-walled (SWNT), and multiwalled CNTs (MWNT), which consist of a single layer of graphene sheet wrapped up to form a seamless tube [13], as presented in Figure 1. Figure 1. Basic structures of (a) single-walled, and (b) multi-walled CNTs SWNTs, presented here, are more pliable than MWNTs and can be, flattened, twisted and bent into small circles or around sharp bends without breaking. SWNTsconsist of a single layer of graphene sheet wrapped up to form a seamless tube. The diameter andthehelicity of a SWNT are defined by the roll-up vector called chiral vector [14] given by: 𝐶⃗⃗⃗⃗ ℎ = 𝑛𝑎1 + 𝑚 𝑎2 (1) This roll-up vector connects crystallographically equivalent sites on this sheet, it defines the circumference on the surface of the tube connecting two equivalent carbon atoms as shown in Figure 2, a1 and a2 are the graphene lattice vectors.These unit vectors of the hexagonal latticecan be by [15] : a1= (3/2ac-c,√3/2ac-c) (2) a2= (3/2ac-c,√-3/2ac-c) (3)
  • 3. Int J Elec & Comp Eng ISSN: 2088-8708  Effect of Chirality and Oxide Thikness on the Performance of a Ballistic CNTFET (Asma Laribi) 4943 Figure 2. 2D graphene sheet illustrating lattice vectors a1 and a2, and the roll-up vector [14] n and m are integers, they determine if a SWNT will be a metal or a semiconductor. They are also called indexes also allow to determinethe chiral angle that is given by : 𝜃 = 𝑡𝑎𝑛−1 ( √3𝑛 2𝑚+𝑛 ) (4) The chiral angle θ is used to separate carbon nanotubes into three classes differentiated by their electronic properties: zig-zag (m = 0, n > 0, θ = 0˚), armchair (n = m, θ = 30˚), and chiral (0 < |m| < n, 0 < θ < 30˚) can see in Figure 3. Figure 3. Examples of the three types of SWNTs identified by the integers (n, m) Armchair carbon nanotubes are metallic. Zig-zag and chiral nanotubes can be semi-metals with a finite band gap if n – m/3 = integer and m ≠ n or semiconductors in all other cases. The band gap for the semi-metallic and semiconductor nanotubes scales in the order of the inverse of the CNT diameter giving each nanotube a distinctive electronic behavior. Each nanotube can be uniquely specified by its diameter’d’ and its chiral angle 𝜃. the diameter of the nanotube can be expressed as: d = Ch/π=√3. 𝑎 𝑐−𝑐(𝑚2 + 𝑚𝑛 + 𝑛2 )1/2 /𝜋] (5) 3. CNTFET STRUCURE The first CNFETs where conceived in a very easiest way, as only a proof of concept and a basic understand were the goals of these new devices.The first CNTFETs were reported in 1998.The first generation of CNTs are given in Figure 4.
  • 4.  ISSN: 2088-8708 Int J Elec & Comp Eng, Vol. 8, No. 6, December 2018 : 4941 - 4950 4944 Figure 4. First generation of CNFETs [16]-[17] CNFETs are considered as a potential candidate to replace MOSFETS beyond the 11nm technology node because of the good electrical transport properties of carbone nanotubes and also the feasibility of using CNTs to conceive CNTFETs with a very good electrostatic control [18]. These simple devices were fabricated by depositing single-wall CNTs from solution on to oxidized Silicon wafers that had been prepattemed using gold or platinum electrodes that served as source and drain electrodes connected via the nanotube channel ,and the doped Si substrate served as the device gate [19]-[20]. The operating principle of the conventional field effect transistor based on carbon nanotube is very similar to a MOSFET Transistor considering replacing the channel material to take advantage of ballistic transport in the CNTs, where electrons are supplied by source terminal and drain terminal will collect these carriers nevertheless, the arrangement keeps changing in order to improve the performance of the device. Because of these unique fetures, CNTFETs become devices of special interest. Field effect transistors made of carbon nanotubes so far can be classified into two 2 biggest classes: back-gated CNFETs and top-gated ones [21]. Lately, a new structure has been introduced known as vertical CNFETs. CNTFETs are also three terminals device like MOSFETs, the difference between these two field effect devices is that CNTFETs employ the CNT as a channel between its source and its drain terminals where as MOSFETs channel is made of doped Si. According to the number of layers in the channel of the CNTFETs, this device can be Single Wall (SW) or Multi Wall (MW). CNTFET devices have two modes of operation, the Schottky-Barrier (SB) or MOSFET-Like CNTFETs. The structure between these two CNFET is only slightly different but results in different transistor operation [22]. In the SB-CNTFETs the gate voltage modulates the current which flow in the channel by changing the width of the barrier. But in MOSFET-Like CNTFETs the gate voltage can be controlled in the drain current by changing the height of the barrier. Figure 5. Cross sectional view of Schottky-barrier CNFET [21] Figure 6. Cross sectional view of MOSFET like CNTFET [21] 4. CNTFETS SIMULATION MODEL To investigate the chirality effects on our device DC performance, a simple two-dimension alanalytical model for ballistic CNTFET isused and shown in Figure 8. Our simulation study is carried out based on surface potential model described by Rhaman et al. This is an extension of the earlier work already done by K. Natori. This model consists of three capacitors that areattached as terminals of the device. As shown in Figure 8, a charge is placed at the top of the barrier.
  • 5. Int J Elec & Comp Eng ISSN: 2088-8708  Effect of Chirality and Oxide Thikness on the Performance of a Ballistic CNTFET (Asma Laribi) 4945 Figure 7. Cross sectional view of the CNTFET type Figure 8. 2D Capacitor model for ballistic transistor N type [23] The top of the barrier's local density of states noted LDOS indicates the charge by the self-consistent potential. At the top of the barrier, the equilibrium electron density No is given by : 𝑁0 = ∫ 𝐷(𝐸)𝑓(𝐸 − 𝐸 𝐹)𝑑𝐸 +∞ −∞ (6) where 𝑫(𝑬) is the local density of state at the top of the barrier and 𝐟(𝐄 − 𝐄 𝐅) represents the equilibrium Fermi distribution function. The positive velocity states N1 are occupied by the source and the negative velocity states N2 are occupied by the drain. N1 and N2 and are given by [24]: 𝑁1 = 𝐷(𝐸) 2 ∫ 𝑓(𝐸 + 𝑈𝑠𝑐𝑓 − 𝐸 𝐹1) −∞ +∞ 𝑑𝐸 (7) 𝑁2 = 𝐷(𝐸) 2 ∫ 𝑓(𝐸 + 𝑈𝑠𝑐𝑓 − 𝐸 𝐹2) −∞ +∞ 𝑑𝐸 (8) EF1 and EF2 are Fermi levels and Uscf. Is the self-consistent potential at the top of the barrier.The Laplace potential UL at the top of the barrier ignoring mobile charge in given by [18]: Calculate a Laplace potential UL: 𝑈𝐿 = −𝑞(𝛼 𝐺 𝑉𝐺 + 𝛼 𝐷 𝑉𝐷 + 𝛼 𝑆 𝑉𝑆) (9) Where: 𝜶 𝑮 = 𝑪 𝑮 𝑪 𝑻 ,𝜶 𝑫 = 𝑪 𝑫 𝑪 𝑻 ,𝜶 𝑺 = 𝑪 𝑺 𝑪 𝑻 CT is the parallel combination of three capacitors CG, CD, CS. The potential due to mobile charge Up can be expressed by: 𝑈 𝑝 = 𝑞2 𝐶 𝑇 (𝑁1 + 𝑁2) − 𝑁0 (10) The entire self-consistent potentialUscf is given by superposition of UL and UP potentials [18]: 𝑈𝑠𝑐𝑓 = 𝑈𝐿 + 𝑈 𝑃 (11) 𝑈𝑠𝑐𝑓 = −𝑞(∝ 𝐺 𝑉𝐺 + 𝛼 𝐷 𝑉𝐷 + 𝛼 𝑆 𝑉𝑆) + 𝑞2 𝐶 𝑇 (𝑁1 + 𝑁2) − 𝑁0 (12) 𝐼 𝐷 = 4𝑞𝑘 𝐵 𝑇 ℎ [𝑙𝑛 (1 + 𝑒𝑥𝑝(𝐸 𝐹1 − 𝑈𝑠𝑐𝑓)) − 𝑙𝑛 (1 + 𝑒𝑥𝑝(𝐸 𝐹2 − 𝑈𝑠𝑐𝑓))] (13) kB: is the Boltzmann constant, T: is an operating temperature ,EF: is the Fermi energy,Uscf: surface potential and q the charge electric field. 5. RESULTS AND DISCUSSION To investigate the performance of scaled carbone nanotube MOSFETs, we simulated a planar CNTFET with a ballistic channel, at room temperature. The device simulated has a 10 nm SiO2 gate oxide thickness. Different diameters, which results in different bandgap allowing different drain current are simulated. We explore various issues by varying two parameters that are the chirality and the oxide thickness.
  • 6.  ISSN: 2088-8708 Int J Elec & Comp Eng, Vol. 8, No. 6, December 2018 : 4941 - 4950 4946 5.1. Effect of chirality on the electrical device characteristics In this section, we study the chirality effects on the CNTFETs’ characteristics, knowing that the chirality (n, m) of SWNTs determines the diameter of CNT, and the CNT's energy gap. In this work SiO2 gate insulator (k=3.9) with 10 nm thikness is used, gate and drain control are (0.88 and 0.35) respectively, the source fermi level is equal to -0.32 eVand operating temperature is 300°K. To investigate the influence of the chirality on CNTFET we have simulated four CNTFETs with different diameters and obviousely different (n, m) given in Table 1. Table1. Chirality, diameter and enegy gap Chirality (n,m) Diameter (nm) Energy gap (5,0) 3.9e-10 2.17 (10,0) 7.8e-10 1.0 (19,0) (26,0) 1.5e-09 2.0e-09 0.5 0.4 All simulation results allowing observing chirality influence on the drain current of our device are given in Figure 10 – 13: (a) (b) Figure 9. The I-V characteristics of a (5-0) SWNT : (a) Ids –Vds (b) Ids-Vgs in logarithmic scale (a) (b) Figure 10. The I-V characteristics of a (10-0) SWNT: (a) Ids –Vds (b) Ids-Vgs in logarithmic scale
  • 7. Int J Elec & Comp Eng ISSN: 2088-8708  Effect of Chirality and Oxide Thikness on the Performance of a Ballistic CNTFET (Asma Laribi) 4947 (a) (b) Figure 11. The I-V characteristics of a (19-0) SWNT: (a) Ids –Vds (b) Ids-Vgs in logarithmic scale (a) (b) Figure 12. The I-V characteristics of a (26-0) SWNT: (a) Ids –Vds (b) Ids-Vgsin logarithmic scale Figure 13. Ids-Vds characteristics of CNTFETs with chiralities of (5, 0), (10, 0), and (19, 0), (26, 0) (VG=0.6 V) In this part we will explor the effect of chirality, the Figure 9, 10, 11, 12(a) shows that the chirality is directly related to CNTs' diameter, and the diameter variation has a direct effect on the transistor and this is indicated in equation 5, and the gap is inversely proportional to the diameter of the carbon nanotube. The chirality has an impact on the devivce output current. Indeed, when the chirality increases the drain current increases in Figure 10, for (n,m)= (5, 0) at VG=1V , drain current of 5µA has been obtained and for (n,m)= (26, 0) a drain current of 24 µA has been obtained.It can be seen CNTFETs using carbon nanotube with larger diameter have a higher drain current, I Figure 9, 10, 11, 12(b) the curves is shown in logarithmic scale at gate voltage of 0.6 V the impact of chirality on Off current . Table 2 gives the value for Ion and Ioff current we remark that when the chirality increase the value of Ion current increase also. The diameter on CNT has specially effect on drain current (on –current), automatically the ratio Ion/Ioff increase for (26,0) chirality.
  • 8.  ISSN: 2088-8708 Int J Elec & Comp Eng, Vol. 8, No. 6, December 2018 : 4941 - 4950 4948 Table 2. Value of Ion and Ioff current corresponding to chirality Chirality (n,m) Ion(μA) Ioff(μA) Ion/Ioff (5,0) 2 3.8x10-5 0.5 x 105 (10,0) 3.5 3.8x10-5 0.9 x 105 (19,0) (26,0) 5.8 7.8 3.8x10-5 3.8x10-5 1.5 x 105 2 x 105 5.2. Effect of oxide thikness In this section the impact of oxide thikness on the output characteristic of CNTFET performance is sImulated, the nanotube diameter will be fixed at 2 nm and the t is varied from 1-5 nm. The Figure 14, 15, 16(a) show the drain current for differents oxide insulator in linear scale, we observe that when the gate oxide thikness is thin the conductivity increase and the leakage current is not increasing, from higher value from insulaor thikness the height of potential barrier becomes high is controlled by the gate source voltage. The Figure 14, 15, 16(b) show the drain current for differents oxide insulator in logarithm scale we observe the influence on variance of insulator gate oxide thikness on current Ion, Ids (Ioff) is inchanged, we conclude when the insulator thikness is reduced the ratio Ion/Ioff will increase. (a) (b) Figure 14. The I-V characteristics of oxide thikness t=3nm : (a) Ids –Vds (b) Ids-Vgs in logarithmic scale (a) (b) Figure 15. The I-V characteristics of oxide thikness t= 2 nm: (a) Ids –Vds (b) Ids-Vgs in logarithmic scale
  • 9. Int J Elec & Comp Eng ISSN: 2088-8708  Effect of Chirality and Oxide Thikness on the Performance of a Ballistic CNTFET (Asma Laribi) 4949 (a) (b) Figure 16. The I-V characteristics of oxide thiknesst=1 nm: (a) Ids –Vds (b) Ids-Vgs in logarithmic scale Figure 17. Effetct of oxide thikness on I-V characteristics in linear scale Figure 18. Variation of drain-source current (IDS) drainsource voltage (VDS) for various gate insulator thicknesses of CNTFET by Devi Dass, Rakesh Prasher, Rakesh Vaid, This result justifies the accuracy of our result [7] From Table 3 we ramark that the Ion current is inversely propotionnel to the insulator thikness and the leakage current is not affected by the gate insulator thiknessbu the ration Ion/Ioffis will increase when the value of gate oxide thikness is decrease. Our simulation accuracy can be justified by investigating other simulation result, the result is approximately equal compared with result in Figure 18. Table 3. Value of Ion and Ioff current for oxyde thikness Oxyde thikness (nm) Ion(μA) Ioff(μA) Ion/Ioff 1 36 3.8x10-5 9.4 x 105 2 18 3.8x10-5 4.7x 105 3 5 13 9 3.8x10-5 3.8x10-5 3.4 x 105 2.3 x 105 6. CONCLUSION In this paper we have investigate the effect of chiraliy and gate oxide thikness on performance of CNTFET device, I have analyse in the first part the influence of chirality on the output characteristics for carbon nanotube field effect transistor. Through simulation result we have observed that when chirality increases the current value increase and the ratio Ion/Ioff is proportionnel to the chirality. From second part we have study the impact of gate oxide thikness on drain current we can observe that the current is affected by the gate insulator thikness, the oxide thikness affects the Ion current but the Ioff current remain stable. The accuracy of our result can be proved by comparing other research group work which is identical. Analysis results conclude that the CNTFETs have the potential to be a successful replacement of MOSFETs in nanoscale electronics.
  • 10.  ISSN: 2088-8708 Int J Elec & Comp Eng, Vol. 8, No. 6, December 2018 : 4941 - 4950 4950 REFERENCES [1] W. Ahmad and A. Anzer, “Modeling and simulation of ballistic carbon nanotube field effect transistors (cntfets) with quantum transport concept and its application in nanoelectronics,” VSRD International Journal of Electrical, Electronics & Communication Engineering, vol/issue: 3(7), 2013. [2] L. Wei, et al., “Non iterative Compact Modelling for Intrinsic Carbon-Nanotube FETs: Quantum Capacitance and Ballistic Transport,” IEEE Transactions on Electron Devices, vol/issue: 58(8), 2011. [3] R. Sahoo and R. R. Mishra, “Simulations of Carbon Nanotube Field Effect Transistors,” International Journal of Electronic Engineering Research, vol/issue: 1(2), pp. 117–125, 2009. [4] L. S. Nasrat, et al., “Carbon Nanotubes Effect for Polymer Materials on Break Down Voltage,” International Journal of Electrical and Computer Engineering (IJECE), vol/issue: 7(4), pp. 1770-1778, 2017. [5] H. S. Philipwong and D. Akinwande, “Carbon Nanotube and Graphene Device Physics,” Cambridge University Press, New York, 2011. [6] R. Martel, et al., “Ambipolar Electrical Transport in Semiconducting Single-Wall Carbon Nanotubes,” Phys. Rev.Lett, 2001. [7] D. Dass, et al., “Impact of scaling gate insulator thickness on the performance of carbon nanotube field effect transistors (cntfets),” Journal of nano- and electronic physics, vol/issue: 5(2), 2013. [8] D. Zhang, et al., “Characterization of Multi-Walled Carbon Nanotube Film Sensor and Ethanol Gas-Sensing Properties,” TELKOMNIKA, vol/issue: 11(1), pp. 55-62, 2013. [9] C. Scoville, et al., “Carbon Nanotubes.” [10] S. Nabizadeh, et al., “Numerical Study of CNT Micro Fin Array for Cooling Application,” Bulletin of Electrical Engineering and Informatics, vol/issue: 2(4), pp. 233-239, 2013. [11] M. Bozlar, “Modification de surface des nanotubes de carbone par un polymère conducteur électrogénéré pour la réalisation de nanocomposites multifonctionnels,” Thèse doctorat, école centrale paris, 2007. [12] S. Rizk, “Elaboration Et Caractérisation De Nanostructures Carbonees Par Procede Cvd Assiste Par Plasma Micro onde,” Thèse doctorat, Université Henri Poincaré, Nancy I, 2009. [13] A. Khial, et al., “On the DIBL Reduction Effect of Short Channel Carbon Nanotube Field Effect Transistors,” International Journal of Electrical and Computer Engineering (IJECE), vol/issue: 6(4), pp. 1514-1521, 2016. [14] A. Mouatsi., “Composants a heterostructures Application en nanoelectronique et nanophotonique,” These de doctorat, Université de constantine 1, 2013. [15] J. H. Lee and B. S. Lee, “Modal analysis of carbon nanotubes and nanocones using FEM,” Computational Materials Science, vol. 51, pp. 30–42, 2012. [16] Nanotube field-effect transistor. http://www.research.ibm.com/nanoscience/fet.html [17] P. J. F. Harris, “Carbon nanotubes and related structures new materials for the twentyfirst century,” Cambridge University Press, New York, 2004. [18] L. Wei, et al., “Non iterative Compact Modelling for Intrinsic Carbon-Nanotube FETs: Quantum Capacitance and Ballistic Transport,” IEEE Transactions on Electron Devices, vol/issue: 58(8), 2011. [19] H. C. Chuan, “Modeling and Analysis of Ballistic Carbon Nanotube Field Effect Transistor (CNTFET) with Quantum Transport Concept,” 2007. [20] R. Rani, “Carbon Nano Tubes in Field Effect of Transistor,” International Journal of Innovative Research in Computer and Communication Engineering, vol/issue: 4(2), 2016. [21] S. Z. A., et al., “Comparison of the performance of ballistic schottky barrier Graphene Nanoribbon FET,” Bachelor of Science, BRAC University, Bangladesh, 2014. [22] S. A. Khan and M. Hasan, “Characterization of Carbon. Nanotube Field Effect Transistor,” Bachelor of Science, Bangladesh, 2012. [23] S. A. Khan, et al., “Investigation of CNTFET Performance with Gate Control Coefficient Effect,” Journal of nano- and electronic physics, vol/issue: 6(2), 2014. [24] D. Dass and R. Vaid, “Impact of SWCNT Band Gaps on the Performance of a Ballistic Carbon Nanotube Field Effect Transistors (CNTFETs),” Journal of nano- and electronic physics, vol/issue: 9(4), 2017.