SlideShare a Scribd company logo
International Journal of Electrical and Computer Engineering (IJECE)
Vol. 11, No. 1, February 2021, pp. 780~787
ISSN: 2088-8708, DOI: 10.11591/ijece.v11i1.pp780-787  780
Journal homepage: http://ijece.iaescore.com
Electrical characterization of si nanowire GAA-TFET based on
dimensions downscaling
Firas Natheer Abdul-Kadir1
, Yasir Hashim2
, Mohammed Nazmus Shakib3
, Faris Hassan Taha4
1,4
Department of Electrical Engineering, College of Engineering, University of Mosul, Iraq
2
Department of Computer Engineering, Faculty of Engineering, Tishk International University, Iraq
3
Faculty of Electrical and Electronics Engineering Technology, Universiti Malaysia Pahang, Malaysia
Article Info ABSTRACT
Article history:
Received Apr 30, 2020
Revised Aug 13, 2020
Accepted Sep 8, 2020
This research paper explains the effect of the dimensions of Gate-all-around
Si nanowire tunneling field effect transistor (GAA Si-NW TFET) on
ON/OFF current ratio, drain induces barrier lowering (DIBL), sub-threshold
swing (SS), and threshold voltage (VT). These parameters are critical factors
of the characteristics of tunnel field effect transistors. The Silvaco TCAD has
been used to study the electrical characteristics of Si-NW TFET. Output
(gate voltage-drain current) characteristics with channel dimensions were
simulated. Results show that 50nm long nanowires with 9nm-18nm diameter
and 3nm oxide thickness tend to have the best nanowire tunnel field effect
transistor (Si-NW TFET) characteristics.
Keywords:
Downscaling
GAA
Nanowire
Sub-threshold swing
TFET This is an open access article under the CC BY-SA license.
Corresponding Author:
Yasir Hashim,
Department of Computer Engineering,
Tishk International University (TIU),
Kurdistan-Erbil, Iraq.
Email: yasir.hashim@tiu.edu.iq
1. INTRODUCTION
The tunnel field-effect transistor (TFET) is a semiconductors device used to a promising candidate
at low power applications in nanometer scales mostly because the conventional metal-oxide-semiconductor
field effect transistor (MOSFET) approached the physical and thermal limits. However, the essential physical
limitation of MOSFET that is to scale them at the submicron region is the pursuing short channel effects
(SCEs) [1]. The silicon nanowire transistor is also used as a candidate device which has the excellent gate
controlled and highly influenced electrical behavior to overcome the problems caused by short channel
effects [2-5]. In the last decade, the rapid development in shrinking of semiconductors device led to the short
channel effects as very harsh problem such as increasing drain induced barrier lowering (DIBL), and many
research have been done in the last decade to find the substitutive device structure for striving improvements.
Subsequently device structures such as double-gate (DG), surrounding-gate (SG), gate all around (GAA)
and carbon nano tube (CNT) FinFETs and graphene-nano-ribbon (GNR) transistors have been incited
for resolving the scaling matter of bulk transistors [6-11]. Gate all around-silicon nano wire tunneling FET
(GAA-SiNWTFET) has most optimized gate structure than the FinFETs. The key performance for
a transistor is the drain current (Id), drain induced barrier lowering (DIBL), threshold voltage (VT),
sub-threshold slop (SS) and faster switching performance (ION/IOFF) which is related to the sub-threshold slop
when the transistor operate at low voltage [12].
Int J Elec & Comp Eng ISSN: 2088-8708 
Electrical characterization of si nanowire GAA-TFET based on… (Firas Natheer Abdul-Kadir)
781
SS ≅ (1 +
𝐶𝑑
𝐶𝑜𝑥
𝑙𝑛
𝐾𝑇
𝑞
) (1)
Where Cd and Cox are the drain and oxide capacitance, respectively with:
𝑙𝑛
𝐾𝑇
𝑞
= 60 𝑚𝑉/ 𝑑𝑒𝑐 (2)
The sub-threshold slop (SS) is the voltage applied on the gate to change the drain current by
decade [13]. To obtaining a low sub-threshold slop (SS < 60mV /dec) and high switching performance
(ION/IOFF > 105
) [14], the quantum mechanism in tunneling TFETs has been introduced as a substitution
carrier injection mechanism in MOSFETs which suffers from thermal limitation [15-17]. Other advantages of
the TFETs are to reduce leakage current, and to provide higher current than the MOSFET, better electrostatic
control, prevention of the short channel effects and suitable to fabricate with CMOS processing techniques
[18-22]. Therefore the TFETs have been gaining popularity over MOSFETs in the technology nodes [23].
Several excellent article and overview have been done in the last few years ago, which summarize the TFET
modern on specific TFET topic [24]. According to aforementioned results that are about characterization and
features for TFET, this paper is proposed .Therefore the importance of the work lies in what it shows from
investigated characterization for electrical parameters which can be critical factor of TFET.
2. RESEARCH METHOD
The GAA NW Si-TFET is a P-I-N structure with an intrinsic semiconductor part (I) between heavily
doped source (p+
) and the drain (n+
). By using band-to-band tunneling FET mechanism, gate all around
controls the tunneling between the channel and (source and drain) regions as showed in Figure 1 [25]
Figure 2 shows a cross-sectional area of the device. The silicon channel radius is (R) for the gate length (L)
which has doping concentration with 1016
per cm-3
, SiO2 has been used as a gate oxide dielectric and
the constant doping profile has been selected of 1020
per cm-3
for the both source and drain region.
The tunneling process is transfer electron or hole through the junction, this process causes pairs of electrons
and holes, hence the transfer rates of electrons and holes are opposite and equal [26]. We used in this work
non local band to band tunneling model to vestige the tunneling generation rate across a tunneling length and
incorporates the change in the electric field along the tunneling length. This model is more accurate for
reverse biased tunneling junction with high doping and conservation sub- threshold slop up to 60 mV/ dec.
(a) (b)
Figure 1. Energy band for a TFET a normally off
device. (a) the gate fully depletes the channel,
(b) a positive gate voltage turns the channel on [23]
Figure 2. The schematic 3D structure, and
(b) the overall dimension of GAA FET
 ISSN: 2088-8708
Int J Elec & Comp Eng, Vol. 11, No. 1, February 2021 : 780 - 787
782
The device has been structured and simulated by using Silvaco TCAD [27] in specified scaling
down dimensions within underlying physics with tunneling phenomena proposed by Kane [28]. The designed
TFET in this paper, simulate with various dimensions for channel radius (R), channel length (L) and gate
oxide thickness (TOX) to study the electrical characterization and analysis importance parameters effects on
the device such as DIBL, SS, Gm, VT and ON/OFF current ratio. The dimensions profile has been selected to
be (25, 18, 9, 5) nm for channel radius, (200, 100, 50, 25) nm for channel length and (4, 3, 2, 1) nm for gate
oxide thickness. The software can generate useful characteristic GAA TFET curves for researchers,
especially to fully explain the underlying physics of TFET.
This simulation tool is utilized to investigate the characteristics of the Si-GAA TFET based on
various channel’s parameters. The output characteristic curves of the transistor under different conditions and
with different parameters are considered. The effects of variable channel dimensions, namely; channel length,
width and oxide thickness in addition to scaling factor of the TFET, are determined based on the I–V
characteristics that derived from the simulation. In this paper, the Id–Vg characteristics of transistor at
the temperature of 300 K are simulated and evaluated with the simulation parameters for channel lengths,
channel diameters, and channel oxide thicknesses have been listed in Table 1.
Table 1. Simulation parameters
Simulation type Variable Parameters Constant Parameters
Channel length effect Channel length (L) (25, 50, 100, and 200) nm Channel radius (R) (5) nm
Oxide thickness (TOX) (1) nm
Channel Doping (P) 1016
cm−3
Drain Doping (P+
) 1020
cm−3
Source Doping (N+
) 1020
cm−3
Drain length 80 nm
Source length 80nm
Channel radius effect Channel radius (R) (5, 9, 18, and 25) nm Channel length (L) (200) nm
Oxide thickness (TOX) (1) nm
Channel Doping (P) 1016
cm−3
Drain Doping (P+
) 1020
cm−3
Source Doping (N+
) 1020
cm−3
Drain length 80 nm
Source length 80nm
Channel Oxide thickness
effect
Oxide thickness (TOX) (1, 2, 3, and 4) nm Channel length (L) (200) nm
Channel radius (R) (5) nm
Channel Doping (P) 1016
cm−3
Drain Doping (P+
) 1020
cm−3
Source Doping (N+
) 1020
cm−3
Drain length 80 nm
Source length 80nm
Three simulation steps were conducted to evaluate the dimensions dependent performance of TFET
in terms of the considered metrics. In the first step, channel length has been varied, whereas other channel
dimensions (R and Tox) were kept with constant values. In the second step, the effect of changing channel
diameter has been investigated with both channel length and oxide thickness of channel was kept constant.
In the final step, oxide thickness was varied and length and radius of channel were fixed.
3. RESULTS AND DISCUSSIONS
In this section, the results of dimensional effect on the electrical characteristics presented and
discussed. Downscaling of length of channel (L), radios of nanowire of channel (R), and oxide thickness
(TOX) and its effect on the ION/IOFF ratio, sub-threshuld swing (SS), drain indused barrier lowering (DIBL),
treshuld voltage (VT), and transconductance (Gm) of channel have been studied.
3.1. Downscaling channel length
The result of the effect of scaling down of channel length (L) on the electrical characteristics of
GAA NW-TFET has been investigated, the channel length L has been scaled down from 200nm to 25nm,
whereas oxide thickness and radius were kept constant at 1 nm and 5 nm, respectively. Also, the drain
voltage for transfer characteristics has been chosen to be VDD  1 V. The simulation of transfer characteristics
(drain current Id–gate voltage Vg) has been conducted with different values of channel lengths L, where
L=25, 50, 100, 200nm.
Int J Elec & Comp Eng ISSN: 2088-8708 
Electrical characterization of si nanowire GAA-TFET based on… (Firas Natheer Abdul-Kadir)
783
Based on the obtained results that illustrated in Figure 3, the ION/IOFF ratio exponentially increases
with the channel length less than 100 nm, while, for channel length above 100nm the ION/IOFF were almost
constant. As shown in Figure 3, the maximum value of the ION/IOFF ratio is more than 3.2*103
at L ≥ 100 nm.
Figure 4 shows the relation of SS and DIBL characteristic with channel length, this figure explain that the SS
improved and decreased as the channel length increased up to 50nm and reached 72.6 mV/dec, while,
for L ≥ 50nm, the values of SS were almost constant. For DIBL, the results in Figure 4 shows that the DIBL
decreases with increasing channel length up to 100nm, then the values of DIBL were almost constant
at 106 mV/V.
Figure 5 shows the relation of length of gate with transconductance (Gm) and threshold voltage (VT),
both VT and Gm increased linearly with L up to L=50nm, then both (Gm and VT) almost constant for
L ≥ 50nm. According these results the best and minimal Lg must be about 50 nm that has best DIBL, Gm and
VT with acceptable ION/IOFF.
Figure 3. Characteristics of ION/IOFF ratio with L Figure 4. The characterestics of SS and DIBL with
channel length
Figure 5. The length of gate effect on transconductance (Gm) and threshold voltage (VT)
3.2. Downscaling channel radius
The minimizing of channel radius R and its effect on the electrical characteristics of GAA TFET
have been investigated in this section. The value of R was changed (5, 9, 18 and 25 nm) while L=200nm and
TOX = 15 nm. Figure 6 shows the electrical characteristics of ION/IOFF ratio depending on the effect of
changing channel radius R. The ION/IOFF ratio for both voltages (VD = 1 V and VG = 1.5 V). The ION/IOFF ratio
is increasing proportional with increasing channel radius. It is possible to recognize that at R lower than
10nm there are highly increasing in ION/IOFF ratios, while at R higher than 10nm there are lower increasing in
ION/IOFF ratios. So, if the channel dimeter minimize from 25nm to 10nm, the ION/IOFF ratios with decreased
 ISSN: 2088-8708
Int J Elec & Comp Eng, Vol. 11, No. 1, February 2021 : 780 - 787
784
from 3.9 *105
to 7*104
respectively. While, the minimizing the channel radius from 10nm to 5nm will drop
down the ION/IOFF ratios from 7*104
to 3.2*103
respectively.
Figure 7 depicts the variation of SS and DIBL values with variable channel radius. The SS highly
improved and increased from 72.8 to 57.5 mV/dec when the radius changed from 5 to 10nm respectively,
the SS increased slightly to 50 mV/dec when the radius increased to 25nm. Figure 7 illustrate that the BIDL
behavior look like same as SS, the DIBL improved and dropped highly also from 116 to 60 mV/V with
radius from 5 to 10 nm respectively, and dropped slightly from 60 to 38 mV/V with the range of channel
radius 10 to 25nm.
Furthermore, the impacts of varying channel radius on VT and Gm are illustrated in Figure 8.
The threshold voltage is almost constant regardless channel width except at the R = 10 nm, where VT scores
the highest value of 0.13 V. Finally, the Gm increased as channel radius increased. GGA TFET achieved
higher Gm at D = 25 nm, the Gm characteristics increased with decreasing R and achieved the lower value at
D = 5 nm. According these results the minimal R with good electrical characteristics must be about 10 nm
that has best DIBL, Gm and VT with acceptable ION/IOFF.
Figure 6. Characteristics of ION/IOFF ratio with R Figure 7. The variation of SS and DIBL with R
Figure 8. Characteristics of VT and Gm with R
3.3. Downscaling channel oxide thickness
Figures 9 to 11 show the channel oxide thickness variation in relation to the electrical characteristics
of GAA TFET. For this simulation step, TOX has been varied (1, 2, 3 and 4 nm), the channel length and
channel radius has been kept constant at 200 nm and 5nm respectively. Figure 9 illustrates the relation
Int J Elec & Comp Eng ISSN: 2088-8708 
Electrical characterization of si nanowire GAA-TFET based on… (Firas Natheer Abdul-Kadir)
785
between the ION/IOFF ratio with the channel oxide thickness. The minimum ION/IOFF ratio (3.1*103
) with
VDD = 1 V was obtained at minimum TOX = 1 nm and then increased to 2.5*1013
at TOX = 4 nm. From
the results shown in Figure 10, it is clear that for a lower channel oxide thickness, TOX = 1 nm the TFET has
shown worse SS characteristics with the best SS value of 72.8 mV/dec compared to other TOX values. The SS
improved with increasing TOX and the best value (21.4 mV/V) was at TOX = 3nm. Figure 10 also displays
channel oxide thickness versus DIBL characteristics of TFET. DIBL increased linearly with increasing TOX,
the best value at TOX =1nm. Figure 11 represents the relation of both VT and Gm, Gm has a peak value at 2nm
while VT increased with increasing Tox and its value almost constant after TOX =1nm. According these results
the minimal TOX with good electrical characteristics must be 2 nm that has best DIBL, Gm and VT with
acceptable ION/IOFF.
Figure 9. Characteristics of ION/IOFF ratio with TOX Figure 10. The characterestics of SS and DIBL with
TOX
Figure 11. Characteristics of VT and Gm with TOX
4. CONCLUSION
The downscaling effect on the electrical characteristics of GAA Si-NW TFET has been investigated,
TCAD simulation tool has been used to create the output characteristics of TFET and the critical parameters
related to the electrical characteristics transistor. Downscaling of length of channel (L), radios of nanowire of
channel (R), and oxide thickness (TOX) and its effect on the ION/IOFF ratio, sub-threshuld swing (SS), drain
indused barrier lowering (DIBL), treshuld voltage (VT), and transconductance (Gm) of channel have been
studied. The results shows that the minimal channel length with good electrical characteristics was at 50nm,
the minimal channel redius with good electrical characteristics was at 10nm, and finally, the minimal channel
oxide thickness with good electrical characteristics was at range 2 to 3nm.
 ISSN: 2088-8708
Int J Elec & Comp Eng, Vol. 11, No. 1, February 2021 : 780 - 787
786
ACKNOWLEDGEMENTS
The authors would like to thank Ishik International university (TIU), University of Mosul, and
University Malaysia Pahang (UMP) for their support, This work was supported by the RDU Grant
(No: RDU1803150) of the Universiti Malaysia Pahang, Malaysia.
REFERENCES
[1] M. Neisser and S. Wurm, “ITRS lithography roadmap: 2015 challenges,” Advanced Optical Technologies, vol. 4,
no. 4, pp. 235-240, 2015.
[2] S. Bangsaruntip, et al., “High performance and highly uniform gate-all-around silicon nanowire MOSFETs with
wire size dependent scaling,” IEEE Int. Electron Devices Meeting, Baltimore, pp. 1-4, 2009.
[3] Y. Hashim O. Sidek, “Dimensional Effect on DIBL in Silicon Nanowire Transistors,” Advanced Materials
Research, vol. 626, pp. 190-194, 2013.
[4] H. T. Al Ariqi, W. A. Jabbar, Y. Hashim, H. B. Manap, “Characterization of silicon nanowire transistor,”
TELKOMNIKA Telecommunication, Computing, Electronics and Control, vol. 17, no. 6, pp. 2860-2866, 2019.
[5] Y. Hashim, “Optimization of Resistance Load in 4T-Static Random-Access Memory Cell Based on Silicon
Nanowire Transistor,” Journal of Nanoscience and Nanotechnology, vol. 18, no. 2, pp. 1199-1201, 2018.
[6] V. M. Srivastava, K. S. Yadav, and G. Singh, “Design and performance analysis of cylindrical surrounding double-
gate MOSFET for RF switch,” Microelectronics Journal, vol. 42, no.10, pp. 1124-1135, 2011.
[7] A. H. Bayani, D. Dideban, J. Voves, and N. Moezi, “Investigation of sub-10nm cylindrical surrounding gate
germanium nanowire field effect transistor with different cross-section areas,” Superlattices and Microstructures,
vol. 105, no. 1, pp. 110-116, 2017.
[8] V. M. Srivastava, “Small signal model of cylindrical surrounding double-gate MOSFET and its parameters,”
Int. Conf. on Trends in Automation, Communications and Computing Technology, pp. 1-5, 2015.
[9] S. K. Dargar and V. M. Srivastava, “Analysis of short channel effects in multiple-gate (n, 0) carbon nanotube
FETs,” Journal of Engineering Science and Technology, vol. 14, no. 6, pp. 3282-3293, 2019.
[10] N. Singh, et al., “High-performance fully depleted silicon nanowire (diameter/spl les/5 nm) gate-all-around CMOS
devices,” IEEE Electron Device Letters, vol. 27, no. 5, pp. 383-386, 2006.
[11] S. K. Dargar and V. M. Srivastava, “Performance analysis of 10 nm FinFET with scaled fin-dimension and oxide
thickness,” International Conference on Automation, Computational and Technology Management, 2019.
[12] A. K. Bansal, et al., "3-D LER and RDF Matching Performance of Nanowire FETs in Inversion, Accumulation, and
Junctionless Modes," IEEE Transactions on Electron Devices, vol. 65, no. 3, pp. 1246-1252, 2018.
[13] M. I. Dewan, M. T. B. Kashem, and S. Subrina, “Characteristic analysis of triple material tri-gate junctionless
tunnel field effect transistor,” 9th Int. Conf. on Electrical and Computer Engineering (ICECE), pp. 333-336, 2016.
[14] A. Seabaugh, "The Tunneling Transistor," IEEE Spectrum, vol. 50, no. 10, pp. 35-62, 2013.
[15] W. Y. Choi, B. G. Park, J. D. Lee, and T. J. K. Liu, “Tunneling field-effect transistors (TFETs) with Subthreshold
Swing (SS) less than 60 mV/dec,” IEEE Electron Device Letters, vol. 28, no. 8, pp. 743-745, 2007.
[16] Ahmed Mahmood, Waheb A Jabbar, Yasir Hashim, Hadi Bin Manap, “Effects of downscaling channel dimensions
on electrical characteristics of InAs-FinFET transistor,” International Journal of Electrical & Computer
Engineering (IJECE), vol. 9, no. 4, pp. 2902-2909, 2019.
[17] Y Hashim, “Temperature effect on ON/OFF current ratio of FinFET transistor,” IEEE Regional Symposium on
Micro and Nanoelectronics (RSM), pp. 231-234, 2017.
[18] Y. Guan, Z. Li, W. Zhang, and Y. Zhang, “An accurate analytical current model of double-gate heterojunction
tunneling FET,” IEEE Trans. on Electron Devices, vol. 64, no. 3, pp. 938-944, 2017
[19] A. C. Seabaugh and Q. Zhang, "Low-Voltage Tunnel Transistors for Beyond CMOS Logic," Proceedings of the
IEEE, vol. 98, no. 12, pp. 2095-2110, 2010.
[20] B. Jena, S. Dash and G. P. Mishra, "Improved Switching Speed of a CMOS Inverter Using Work-Function
Modulation Engineering," IEEE Trans. on Electron Devices, vol. 65, no. 6, pp. 2422-2429, 2018.
[21] A. Kumar, S. Bhushan, and P. K. Tiwari, “A threshold voltage model of silicon-nanotube-based ultrathin double
gate-all-around (DGAA) MOSFETs incorporating quantum confinement effects,” IEEE Trans. on Nanotechnology,
vol. 16, no. 5, pp. 868-875, 2017.
[22] J. Dura, et al., “Analytical model of drain current in nanowire MOSFETs including quantum confinement, band
structure effects and quasi-ballistic transport: device to circuit performances analysis,” Int. Conf. on Simulation of
Semiconductor Processes and Devices (ICSSPD), pp. 43-46, 2011.
[23] H. R. T. Khaveh, S. Mohammadi, “Potential and drain current modeling of gate-all-around tunnel FETs considering
the junctions depletion regions and the channel mobile charge carriers,” IEEE Trans. on Electron Devices, vol. 63,
no. 12, pp. 5021-5029, 2016.
[24] S. Glass et al., "A Novel Gate-Normal Tunneling Field-Effect Transistor With Dual-Metal Gate,” IEEE Journal of
the Electron Devices Society, vol. 6, pp. 1070-1076, 2018.
[25] AC Seabaugh, Q Zhang., “Low-Voltage Tunnel Transistors for Beyond CMOS Logic,” Proceedings of the IEEE,
vol. 98, no. 12, pp. 2095-2110, 2010.
[26] S. Kang, et al., “Interlayer tunnel fieldeffect transistor (ITFET): Physics, fabrication and applications,” Journal of
Physics D: Applied Physics, vol. 50, no. 38, 2017.
Int J Elec & Comp Eng ISSN: 2088-8708 
Electrical characterization of si nanowire GAA-TFET based on… (Firas Natheer Abdul-Kadir)
787
[27] M. Khaouani, and A. Guen-Bouazza, “Impact of multiple channels on the characteristics of rectangular GAA
MOSFET,” International Journal of Electrical and Computer Engineering (IJECE), vol. 7, no. 4, pp. 1899-1905,
2017.
[28] E. O. Kane, “Theory of tunneling,” Journal of Applied Physics, vol. 32, no. 1, pp. 83-91, 1961
BIOGRAPHIES OF AUTHORS
Firas N. Abdul-kadir received the B.Sc. in Medical Instruments Engineering from Mosul
Technical College and Master of Engineering in Electronics and Communications Engineering
from the University of Mosul, Mosul, Iraq, in 1998 and 2013 respectively. He is currently an
Assistant Lecturer in the Department of Electrical Engineering, College of Engineering, Mosul
University, Mosul, Iraq. His research interests include Microelectronics and Nanoelectronic,
MOSFET nono-structure and carbon-nano tube (CNT). Email: firas_nadheer@uomosul.edu.iq
Yasir Hashim (SMIEEE) received the B.Sc. and Master of Engineering in Electronics and
Communications Engineering from the University of Mosul, Mosul, Iraq, in 1991 and 1995
respectively. He completed the Ph.D. in Electronics Engineering-Micro and Nanoelectronics
from Universiti Science Malaysia (USM), Penang, Malaysia, in 2013. He is currently a Senior
Lecturer in the Department of Computer Engineering, Faculty of Engineering, Ishik University,
Erbil-Kurdistan, Iraq. His research interests include Microelectronics and Nanoelectronic:
Nanowire transistors, FinFET transistor, Multistage Logic Nano-inverters.
Mohammed Nazmus Shakib received his B.Sc. degree in Electronics Engineering from
Multimedia University, Malaysia, the M.Sc. degree from National University of Malaysia,
Malaysia and the Ph.D. from the University of Malaya, Malaysia. He is currently attached to
the Faculty of Electrical & Electronics Engineering Technology, University Malaysia Pahang,
Malaysia. He has published many international conferences and journals. He is also a Reviewer
of a few journals such as IET, PIER, JEMWA, IEEE Access, Elsevier, etc. His research interests
mainly include electronics, sensors, RF, measurement antennas, patch antennas, wearable
devices, implantable devices, wireless communication and UWB technology.
Faris Hassan Aldabbagh received the MSc degree in Electronic and communication from
the University of Mosul, Mosul, Iraq, in 1995 and received PhD degree in 2013 in Solid State
Electronics from University of Mosul, Mosul, Iraq. His research interests include
Microelectronics and Nanoelectronic.

More Related Content

What's hot

A Novel Field Effect Diode (Fed) Structure For Improvement Of Ion/Ioff Ratio ...
A Novel Field Effect Diode (Fed) Structure For Improvement Of Ion/Ioff Ratio ...A Novel Field Effect Diode (Fed) Structure For Improvement Of Ion/Ioff Ratio ...
A Novel Field Effect Diode (Fed) Structure For Improvement Of Ion/Ioff Ratio ...
IOSR Journals
 
Design of Nanoscale 3-T DRAM using FinFET
Design of Nanoscale 3-T DRAM using FinFETDesign of Nanoscale 3-T DRAM using FinFET
Design of Nanoscale 3-T DRAM using FinFET
IOSR Journals
 
IMPACT OF DEVICE PARAMETERS OF TRIPLE GATE SOI-FINFET ON THE PERFORMANCE OF C...
IMPACT OF DEVICE PARAMETERS OF TRIPLE GATE SOI-FINFET ON THE PERFORMANCE OF C...IMPACT OF DEVICE PARAMETERS OF TRIPLE GATE SOI-FINFET ON THE PERFORMANCE OF C...
IMPACT OF DEVICE PARAMETERS OF TRIPLE GATE SOI-FINFET ON THE PERFORMANCE OF C...
VLSICS Design
 
Ijetcas14 647
Ijetcas14 647Ijetcas14 647
Ijetcas14 647
Iasir Journals
 
Temperature dependent analytical model for submicron GaAs-MESFET
Temperature dependent analytical model for submicron GaAs-MESFETTemperature dependent analytical model for submicron GaAs-MESFET
Temperature dependent analytical model for submicron GaAs-MESFET
journalBEEI
 
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
Crimsonpublishers-Electronics
 
Frequency Dependent Characteristics of OGMOSFET
Frequency Dependent Characteristics of OGMOSFETFrequency Dependent Characteristics of OGMOSFET
Frequency Dependent Characteristics of OGMOSFET
idescitation
 
Design and modeling of solenoid inductor integrated with FeNiCo in high frequ...
Design and modeling of solenoid inductor integrated with FeNiCo in high frequ...Design and modeling of solenoid inductor integrated with FeNiCo in high frequ...
Design and modeling of solenoid inductor integrated with FeNiCo in high frequ...
TELKOMNIKA JOURNAL
 
Design & Performance Analysis of DG-MOSFET for Reduction of Short Channel Eff...
Design & Performance Analysis of DG-MOSFET for Reduction of Short Channel Eff...Design & Performance Analysis of DG-MOSFET for Reduction of Short Channel Eff...
Design & Performance Analysis of DG-MOSFET for Reduction of Short Channel Eff...
IJERA Editor
 
Six-port Interferometer for W-band Transceivers: Design and Characterization
Six-port Interferometer for W-band Transceivers: Design and CharacterizationSix-port Interferometer for W-band Transceivers: Design and Characterization
Six-port Interferometer for W-band Transceivers: Design and Characterization
IJECEIAES
 
A Survey on Architectural Modifications for Improving Performances of Devices...
A Survey on Architectural Modifications for Improving Performances of Devices...A Survey on Architectural Modifications for Improving Performances of Devices...
A Survey on Architectural Modifications for Improving Performances of Devices...
IRJET Journal
 
Performance Evaluation of GaN Based Thin Film Transistor using TCAD Simulation
Performance Evaluation of GaN Based Thin Film Transistor using TCAD Simulation Performance Evaluation of GaN Based Thin Film Transistor using TCAD Simulation
Performance Evaluation of GaN Based Thin Film Transistor using TCAD Simulation
Yayah Zakaria
 
Ijetcas14 632
Ijetcas14 632Ijetcas14 632
Ijetcas14 632
Iasir Journals
 
ULTRA HIGH SPEED FACTORIAL DESIGN IN SUB-NANOMETER TECHNOLOGY
ULTRA HIGH SPEED FACTORIAL DESIGN IN SUB-NANOMETER TECHNOLOGYULTRA HIGH SPEED FACTORIAL DESIGN IN SUB-NANOMETER TECHNOLOGY
ULTRA HIGH SPEED FACTORIAL DESIGN IN SUB-NANOMETER TECHNOLOGY
cscpconf
 
Back aperture
Back apertureBack aperture
Back aperture
Dharmendra Jhariya
 
Simulation and detection of transients on a 150kV HV Cable-paper
Simulation and detection of transients on a 150kV HV Cable-paperSimulation and detection of transients on a 150kV HV Cable-paper
Simulation and detection of transients on a 150kV HV Cable-paperThomas Mathew
 
LDMOS technology for RF power amplifiers
LDMOS technology for RF power amplifiersLDMOS technology for RF power amplifiers
LDMOS technology for RF power amplifiersSteven Theeuwen
 
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
Waqas Tariq
 

What's hot (20)

A Novel Field Effect Diode (Fed) Structure For Improvement Of Ion/Ioff Ratio ...
A Novel Field Effect Diode (Fed) Structure For Improvement Of Ion/Ioff Ratio ...A Novel Field Effect Diode (Fed) Structure For Improvement Of Ion/Ioff Ratio ...
A Novel Field Effect Diode (Fed) Structure For Improvement Of Ion/Ioff Ratio ...
 
Design of Nanoscale 3-T DRAM using FinFET
Design of Nanoscale 3-T DRAM using FinFETDesign of Nanoscale 3-T DRAM using FinFET
Design of Nanoscale 3-T DRAM using FinFET
 
Nc342352340
Nc342352340Nc342352340
Nc342352340
 
IMPACT OF DEVICE PARAMETERS OF TRIPLE GATE SOI-FINFET ON THE PERFORMANCE OF C...
IMPACT OF DEVICE PARAMETERS OF TRIPLE GATE SOI-FINFET ON THE PERFORMANCE OF C...IMPACT OF DEVICE PARAMETERS OF TRIPLE GATE SOI-FINFET ON THE PERFORMANCE OF C...
IMPACT OF DEVICE PARAMETERS OF TRIPLE GATE SOI-FINFET ON THE PERFORMANCE OF C...
 
Ijetcas14 647
Ijetcas14 647Ijetcas14 647
Ijetcas14 647
 
Temperature dependent analytical model for submicron GaAs-MESFET
Temperature dependent analytical model for submicron GaAs-MESFETTemperature dependent analytical model for submicron GaAs-MESFET
Temperature dependent analytical model for submicron GaAs-MESFET
 
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
 
Frequency Dependent Characteristics of OGMOSFET
Frequency Dependent Characteristics of OGMOSFETFrequency Dependent Characteristics of OGMOSFET
Frequency Dependent Characteristics of OGMOSFET
 
Design and modeling of solenoid inductor integrated with FeNiCo in high frequ...
Design and modeling of solenoid inductor integrated with FeNiCo in high frequ...Design and modeling of solenoid inductor integrated with FeNiCo in high frequ...
Design and modeling of solenoid inductor integrated with FeNiCo in high frequ...
 
Design & Performance Analysis of DG-MOSFET for Reduction of Short Channel Eff...
Design & Performance Analysis of DG-MOSFET for Reduction of Short Channel Eff...Design & Performance Analysis of DG-MOSFET for Reduction of Short Channel Eff...
Design & Performance Analysis of DG-MOSFET for Reduction of Short Channel Eff...
 
Six-port Interferometer for W-band Transceivers: Design and Characterization
Six-port Interferometer for W-band Transceivers: Design and CharacterizationSix-port Interferometer for W-band Transceivers: Design and Characterization
Six-port Interferometer for W-band Transceivers: Design and Characterization
 
A Survey on Architectural Modifications for Improving Performances of Devices...
A Survey on Architectural Modifications for Improving Performances of Devices...A Survey on Architectural Modifications for Improving Performances of Devices...
A Survey on Architectural Modifications for Improving Performances of Devices...
 
Performance Evaluation of GaN Based Thin Film Transistor using TCAD Simulation
Performance Evaluation of GaN Based Thin Film Transistor using TCAD Simulation Performance Evaluation of GaN Based Thin Film Transistor using TCAD Simulation
Performance Evaluation of GaN Based Thin Film Transistor using TCAD Simulation
 
Ijetcas14 632
Ijetcas14 632Ijetcas14 632
Ijetcas14 632
 
ULTRA HIGH SPEED FACTORIAL DESIGN IN SUB-NANOMETER TECHNOLOGY
ULTRA HIGH SPEED FACTORIAL DESIGN IN SUB-NANOMETER TECHNOLOGYULTRA HIGH SPEED FACTORIAL DESIGN IN SUB-NANOMETER TECHNOLOGY
ULTRA HIGH SPEED FACTORIAL DESIGN IN SUB-NANOMETER TECHNOLOGY
 
Back aperture
Back apertureBack aperture
Back aperture
 
Simulation and detection of transients on a 150kV HV Cable-paper
Simulation and detection of transients on a 150kV HV Cable-paperSimulation and detection of transients on a 150kV HV Cable-paper
Simulation and detection of transients on a 150kV HV Cable-paper
 
LDMOS technology for RF power amplifiers
LDMOS technology for RF power amplifiersLDMOS technology for RF power amplifiers
LDMOS technology for RF power amplifiers
 
IJST_13MCE1045-acptd-Mayura
IJST_13MCE1045-acptd-MayuraIJST_13MCE1045-acptd-Mayura
IJST_13MCE1045-acptd-Mayura
 
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
 

Similar to Electrical characterization of si nanowire GAA-TFET based on dimensions downscaling

Optimization of 14 nm double gate Bi-GFET for lower leakage current
Optimization of 14 nm double gate Bi-GFET for lower leakage currentOptimization of 14 nm double gate Bi-GFET for lower leakage current
Optimization of 14 nm double gate Bi-GFET for lower leakage current
TELKOMNIKA JOURNAL
 
LINEARITY AND ANALOG PERFORMANCE ANALYSIS OF DOUBLE GATE TUNNEL FET: EFFECT O...
LINEARITY AND ANALOG PERFORMANCE ANALYSIS OF DOUBLE GATE TUNNEL FET: EFFECT O...LINEARITY AND ANALOG PERFORMANCE ANALYSIS OF DOUBLE GATE TUNNEL FET: EFFECT O...
LINEARITY AND ANALOG PERFORMANCE ANALYSIS OF DOUBLE GATE TUNNEL FET: EFFECT O...
VLSICS Design
 
Impact of multiple channels on the Characteristics of Rectangular GAA MOSFET
Impact of multiple channels on the Characteristics of Rectangular GAA MOSFET Impact of multiple channels on the Characteristics of Rectangular GAA MOSFET
Impact of multiple channels on the Characteristics of Rectangular GAA MOSFET
IJECEIAES
 
Physical Scaling Limits of FinFET Structure: A Simulation Study
Physical Scaling Limits of FinFET Structure: A Simulation StudyPhysical Scaling Limits of FinFET Structure: A Simulation Study
Physical Scaling Limits of FinFET Structure: A Simulation Study
VLSICS Design
 
Physical Scaling Limits of FinFET Structure: A Simulation Study
Physical Scaling Limits of FinFET Structure: A Simulation StudyPhysical Scaling Limits of FinFET Structure: A Simulation Study
Physical Scaling Limits of FinFET Structure: A Simulation Study
VLSICS Design
 
Review on Tunnel Field Effect Transistors (TFET)
Review on Tunnel Field Effect Transistors (TFET)Review on Tunnel Field Effect Transistors (TFET)
Review on Tunnel Field Effect Transistors (TFET)
IRJET Journal
 
Impact of Gate Length Modulation On a Al0.83Ga0.17N/GaN Dual Double Gate MOSH...
Impact of Gate Length Modulation On a Al0.83Ga0.17N/GaN Dual Double Gate MOSH...Impact of Gate Length Modulation On a Al0.83Ga0.17N/GaN Dual Double Gate MOSH...
Impact of Gate Length Modulation On a Al0.83Ga0.17N/GaN Dual Double Gate MOSH...
IRJET Journal
 
The impact of channel fin width on electrical characteristics of Si-FinFET
The impact of channel fin width on electrical characteristics of Si-FinFET The impact of channel fin width on electrical characteristics of Si-FinFET
The impact of channel fin width on electrical characteristics of Si-FinFET
IJECEIAES
 
DC performance analysis of a 20nm gate length n-type Silicon GAA junctionless...
DC performance analysis of a 20nm gate length n-type Silicon GAA junctionless...DC performance analysis of a 20nm gate length n-type Silicon GAA junctionless...
DC performance analysis of a 20nm gate length n-type Silicon GAA junctionless...
IJECEIAES
 
Operational transconductance amplifier-based comparator for high frequency a...
Operational transconductance amplifier-based comparator for  high frequency a...Operational transconductance amplifier-based comparator for  high frequency a...
Operational transconductance amplifier-based comparator for high frequency a...
IJECEIAES
 
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
 
SOTA.pptx
SOTA.pptxSOTA.pptx
Analog/RF Performance of Dielectric Pocket Double Gate (DP-DG) AlGaN/GaN MOSHEMT
Analog/RF Performance of Dielectric Pocket Double Gate (DP-DG) AlGaN/GaN MOSHEMTAnalog/RF Performance of Dielectric Pocket Double Gate (DP-DG) AlGaN/GaN MOSHEMT
Analog/RF Performance of Dielectric Pocket Double Gate (DP-DG) AlGaN/GaN MOSHEMT
IRJET Journal
 
D010111822
D010111822D010111822
D010111822
IOSR Journals
 
CNFET Technology
CNFET TechnologyCNFET Technology
CNFET Technology
Kunwar Rehan
 
mosfet scaling_
mosfet scaling_mosfet scaling_
mosfet scaling_
Web Design & Development
 
Performance Evaluation of GaN Based Thin Film Transistor using TCAD Simulation
Performance Evaluation of GaN Based Thin Film Transistor using TCAD Simulation Performance Evaluation of GaN Based Thin Film Transistor using TCAD Simulation
Performance Evaluation of GaN Based Thin Film Transistor using TCAD Simulation
IJECEIAES
 
P045078991
P045078991P045078991
P045078991
IJERA Editor
 
Junctionless Transistor
Junctionless Transistor Junctionless Transistor
Junctionless Transistor
Durgarao Gundu
 
Threshold voltage model for hetero-gate-dielectric tunneling field effect tra...
Threshold voltage model for hetero-gate-dielectric tunneling field effect tra...Threshold voltage model for hetero-gate-dielectric tunneling field effect tra...
Threshold voltage model for hetero-gate-dielectric tunneling field effect tra...
IJECEIAES
 

Similar to Electrical characterization of si nanowire GAA-TFET based on dimensions downscaling (20)

Optimization of 14 nm double gate Bi-GFET for lower leakage current
Optimization of 14 nm double gate Bi-GFET for lower leakage currentOptimization of 14 nm double gate Bi-GFET for lower leakage current
Optimization of 14 nm double gate Bi-GFET for lower leakage current
 
LINEARITY AND ANALOG PERFORMANCE ANALYSIS OF DOUBLE GATE TUNNEL FET: EFFECT O...
LINEARITY AND ANALOG PERFORMANCE ANALYSIS OF DOUBLE GATE TUNNEL FET: EFFECT O...LINEARITY AND ANALOG PERFORMANCE ANALYSIS OF DOUBLE GATE TUNNEL FET: EFFECT O...
LINEARITY AND ANALOG PERFORMANCE ANALYSIS OF DOUBLE GATE TUNNEL FET: EFFECT O...
 
Impact of multiple channels on the Characteristics of Rectangular GAA MOSFET
Impact of multiple channels on the Characteristics of Rectangular GAA MOSFET Impact of multiple channels on the Characteristics of Rectangular GAA MOSFET
Impact of multiple channels on the Characteristics of Rectangular GAA MOSFET
 
Physical Scaling Limits of FinFET Structure: A Simulation Study
Physical Scaling Limits of FinFET Structure: A Simulation StudyPhysical Scaling Limits of FinFET Structure: A Simulation Study
Physical Scaling Limits of FinFET Structure: A Simulation Study
 
Physical Scaling Limits of FinFET Structure: A Simulation Study
Physical Scaling Limits of FinFET Structure: A Simulation StudyPhysical Scaling Limits of FinFET Structure: A Simulation Study
Physical Scaling Limits of FinFET Structure: A Simulation Study
 
Review on Tunnel Field Effect Transistors (TFET)
Review on Tunnel Field Effect Transistors (TFET)Review on Tunnel Field Effect Transistors (TFET)
Review on Tunnel Field Effect Transistors (TFET)
 
Impact of Gate Length Modulation On a Al0.83Ga0.17N/GaN Dual Double Gate MOSH...
Impact of Gate Length Modulation On a Al0.83Ga0.17N/GaN Dual Double Gate MOSH...Impact of Gate Length Modulation On a Al0.83Ga0.17N/GaN Dual Double Gate MOSH...
Impact of Gate Length Modulation On a Al0.83Ga0.17N/GaN Dual Double Gate MOSH...
 
The impact of channel fin width on electrical characteristics of Si-FinFET
The impact of channel fin width on electrical characteristics of Si-FinFET The impact of channel fin width on electrical characteristics of Si-FinFET
The impact of channel fin width on electrical characteristics of Si-FinFET
 
DC performance analysis of a 20nm gate length n-type Silicon GAA junctionless...
DC performance analysis of a 20nm gate length n-type Silicon GAA junctionless...DC performance analysis of a 20nm gate length n-type Silicon GAA junctionless...
DC performance analysis of a 20nm gate length n-type Silicon GAA junctionless...
 
Operational transconductance amplifier-based comparator for high frequency a...
Operational transconductance amplifier-based comparator for  high frequency a...Operational transconductance amplifier-based comparator for  high frequency a...
Operational transconductance amplifier-based comparator for high frequency a...
 
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...
 
SOTA.pptx
SOTA.pptxSOTA.pptx
SOTA.pptx
 
Analog/RF Performance of Dielectric Pocket Double Gate (DP-DG) AlGaN/GaN MOSHEMT
Analog/RF Performance of Dielectric Pocket Double Gate (DP-DG) AlGaN/GaN MOSHEMTAnalog/RF Performance of Dielectric Pocket Double Gate (DP-DG) AlGaN/GaN MOSHEMT
Analog/RF Performance of Dielectric Pocket Double Gate (DP-DG) AlGaN/GaN MOSHEMT
 
D010111822
D010111822D010111822
D010111822
 
CNFET Technology
CNFET TechnologyCNFET Technology
CNFET Technology
 
mosfet scaling_
mosfet scaling_mosfet scaling_
mosfet scaling_
 
Performance Evaluation of GaN Based Thin Film Transistor using TCAD Simulation
Performance Evaluation of GaN Based Thin Film Transistor using TCAD Simulation Performance Evaluation of GaN Based Thin Film Transistor using TCAD Simulation
Performance Evaluation of GaN Based Thin Film Transistor using TCAD Simulation
 
P045078991
P045078991P045078991
P045078991
 
Junctionless Transistor
Junctionless Transistor Junctionless Transistor
Junctionless Transistor
 
Threshold voltage model for hetero-gate-dielectric tunneling field effect tra...
Threshold voltage model for hetero-gate-dielectric tunneling field effect tra...Threshold voltage model for hetero-gate-dielectric tunneling field effect tra...
Threshold voltage model for hetero-gate-dielectric tunneling field effect tra...
 

More from IJECEIAES

Bibliometric analysis highlighting the role of women in addressing climate ch...
Bibliometric analysis highlighting the role of women in addressing climate ch...Bibliometric analysis highlighting the role of women in addressing climate ch...
Bibliometric analysis highlighting the role of women in addressing climate ch...
IJECEIAES
 
Voltage and frequency control of microgrid in presence of micro-turbine inter...
Voltage and frequency control of microgrid in presence of micro-turbine inter...Voltage and frequency control of microgrid in presence of micro-turbine inter...
Voltage and frequency control of microgrid in presence of micro-turbine inter...
IJECEIAES
 
Enhancing battery system identification: nonlinear autoregressive modeling fo...
Enhancing battery system identification: nonlinear autoregressive modeling fo...Enhancing battery system identification: nonlinear autoregressive modeling fo...
Enhancing battery system identification: nonlinear autoregressive modeling fo...
IJECEIAES
 
Smart grid deployment: from a bibliometric analysis to a survey
Smart grid deployment: from a bibliometric analysis to a surveySmart grid deployment: from a bibliometric analysis to a survey
Smart grid deployment: from a bibliometric analysis to a survey
IJECEIAES
 
Use of analytical hierarchy process for selecting and prioritizing islanding ...
Use of analytical hierarchy process for selecting and prioritizing islanding ...Use of analytical hierarchy process for selecting and prioritizing islanding ...
Use of analytical hierarchy process for selecting and prioritizing islanding ...
IJECEIAES
 
Enhancing of single-stage grid-connected photovoltaic system using fuzzy logi...
Enhancing of single-stage grid-connected photovoltaic system using fuzzy logi...Enhancing of single-stage grid-connected photovoltaic system using fuzzy logi...
Enhancing of single-stage grid-connected photovoltaic system using fuzzy logi...
IJECEIAES
 
Enhancing photovoltaic system maximum power point tracking with fuzzy logic-b...
Enhancing photovoltaic system maximum power point tracking with fuzzy logic-b...Enhancing photovoltaic system maximum power point tracking with fuzzy logic-b...
Enhancing photovoltaic system maximum power point tracking with fuzzy logic-b...
IJECEIAES
 
Adaptive synchronous sliding control for a robot manipulator based on neural ...
Adaptive synchronous sliding control for a robot manipulator based on neural ...Adaptive synchronous sliding control for a robot manipulator based on neural ...
Adaptive synchronous sliding control for a robot manipulator based on neural ...
IJECEIAES
 
Remote field-programmable gate array laboratory for signal acquisition and de...
Remote field-programmable gate array laboratory for signal acquisition and de...Remote field-programmable gate array laboratory for signal acquisition and de...
Remote field-programmable gate array laboratory for signal acquisition and de...
IJECEIAES
 
Detecting and resolving feature envy through automated machine learning and m...
Detecting and resolving feature envy through automated machine learning and m...Detecting and resolving feature envy through automated machine learning and m...
Detecting and resolving feature envy through automated machine learning and m...
IJECEIAES
 
Smart monitoring technique for solar cell systems using internet of things ba...
Smart monitoring technique for solar cell systems using internet of things ba...Smart monitoring technique for solar cell systems using internet of things ba...
Smart monitoring technique for solar cell systems using internet of things ba...
IJECEIAES
 
An efficient security framework for intrusion detection and prevention in int...
An efficient security framework for intrusion detection and prevention in int...An efficient security framework for intrusion detection and prevention in int...
An efficient security framework for intrusion detection and prevention in int...
IJECEIAES
 
Developing a smart system for infant incubators using the internet of things ...
Developing a smart system for infant incubators using the internet of things ...Developing a smart system for infant incubators using the internet of things ...
Developing a smart system for infant incubators using the internet of things ...
IJECEIAES
 
A review on internet of things-based stingless bee's honey production with im...
A review on internet of things-based stingless bee's honey production with im...A review on internet of things-based stingless bee's honey production with im...
A review on internet of things-based stingless bee's honey production with im...
IJECEIAES
 
A trust based secure access control using authentication mechanism for intero...
A trust based secure access control using authentication mechanism for intero...A trust based secure access control using authentication mechanism for intero...
A trust based secure access control using authentication mechanism for intero...
IJECEIAES
 
Fuzzy linear programming with the intuitionistic polygonal fuzzy numbers
Fuzzy linear programming with the intuitionistic polygonal fuzzy numbersFuzzy linear programming with the intuitionistic polygonal fuzzy numbers
Fuzzy linear programming with the intuitionistic polygonal fuzzy numbers
IJECEIAES
 
The performance of artificial intelligence in prostate magnetic resonance im...
The performance of artificial intelligence in prostate  magnetic resonance im...The performance of artificial intelligence in prostate  magnetic resonance im...
The performance of artificial intelligence in prostate magnetic resonance im...
IJECEIAES
 
Seizure stage detection of epileptic seizure using convolutional neural networks
Seizure stage detection of epileptic seizure using convolutional neural networksSeizure stage detection of epileptic seizure using convolutional neural networks
Seizure stage detection of epileptic seizure using convolutional neural networks
IJECEIAES
 
Analysis of driving style using self-organizing maps to analyze driver behavior
Analysis of driving style using self-organizing maps to analyze driver behaviorAnalysis of driving style using self-organizing maps to analyze driver behavior
Analysis of driving style using self-organizing maps to analyze driver behavior
IJECEIAES
 
Hyperspectral object classification using hybrid spectral-spatial fusion and ...
Hyperspectral object classification using hybrid spectral-spatial fusion and ...Hyperspectral object classification using hybrid spectral-spatial fusion and ...
Hyperspectral object classification using hybrid spectral-spatial fusion and ...
IJECEIAES
 

More from IJECEIAES (20)

Bibliometric analysis highlighting the role of women in addressing climate ch...
Bibliometric analysis highlighting the role of women in addressing climate ch...Bibliometric analysis highlighting the role of women in addressing climate ch...
Bibliometric analysis highlighting the role of women in addressing climate ch...
 
Voltage and frequency control of microgrid in presence of micro-turbine inter...
Voltage and frequency control of microgrid in presence of micro-turbine inter...Voltage and frequency control of microgrid in presence of micro-turbine inter...
Voltage and frequency control of microgrid in presence of micro-turbine inter...
 
Enhancing battery system identification: nonlinear autoregressive modeling fo...
Enhancing battery system identification: nonlinear autoregressive modeling fo...Enhancing battery system identification: nonlinear autoregressive modeling fo...
Enhancing battery system identification: nonlinear autoregressive modeling fo...
 
Smart grid deployment: from a bibliometric analysis to a survey
Smart grid deployment: from a bibliometric analysis to a surveySmart grid deployment: from a bibliometric analysis to a survey
Smart grid deployment: from a bibliometric analysis to a survey
 
Use of analytical hierarchy process for selecting and prioritizing islanding ...
Use of analytical hierarchy process for selecting and prioritizing islanding ...Use of analytical hierarchy process for selecting and prioritizing islanding ...
Use of analytical hierarchy process for selecting and prioritizing islanding ...
 
Enhancing of single-stage grid-connected photovoltaic system using fuzzy logi...
Enhancing of single-stage grid-connected photovoltaic system using fuzzy logi...Enhancing of single-stage grid-connected photovoltaic system using fuzzy logi...
Enhancing of single-stage grid-connected photovoltaic system using fuzzy logi...
 
Enhancing photovoltaic system maximum power point tracking with fuzzy logic-b...
Enhancing photovoltaic system maximum power point tracking with fuzzy logic-b...Enhancing photovoltaic system maximum power point tracking with fuzzy logic-b...
Enhancing photovoltaic system maximum power point tracking with fuzzy logic-b...
 
Adaptive synchronous sliding control for a robot manipulator based on neural ...
Adaptive synchronous sliding control for a robot manipulator based on neural ...Adaptive synchronous sliding control for a robot manipulator based on neural ...
Adaptive synchronous sliding control for a robot manipulator based on neural ...
 
Remote field-programmable gate array laboratory for signal acquisition and de...
Remote field-programmable gate array laboratory for signal acquisition and de...Remote field-programmable gate array laboratory for signal acquisition and de...
Remote field-programmable gate array laboratory for signal acquisition and de...
 
Detecting and resolving feature envy through automated machine learning and m...
Detecting and resolving feature envy through automated machine learning and m...Detecting and resolving feature envy through automated machine learning and m...
Detecting and resolving feature envy through automated machine learning and m...
 
Smart monitoring technique for solar cell systems using internet of things ba...
Smart monitoring technique for solar cell systems using internet of things ba...Smart monitoring technique for solar cell systems using internet of things ba...
Smart monitoring technique for solar cell systems using internet of things ba...
 
An efficient security framework for intrusion detection and prevention in int...
An efficient security framework for intrusion detection and prevention in int...An efficient security framework for intrusion detection and prevention in int...
An efficient security framework for intrusion detection and prevention in int...
 
Developing a smart system for infant incubators using the internet of things ...
Developing a smart system for infant incubators using the internet of things ...Developing a smart system for infant incubators using the internet of things ...
Developing a smart system for infant incubators using the internet of things ...
 
A review on internet of things-based stingless bee's honey production with im...
A review on internet of things-based stingless bee's honey production with im...A review on internet of things-based stingless bee's honey production with im...
A review on internet of things-based stingless bee's honey production with im...
 
A trust based secure access control using authentication mechanism for intero...
A trust based secure access control using authentication mechanism for intero...A trust based secure access control using authentication mechanism for intero...
A trust based secure access control using authentication mechanism for intero...
 
Fuzzy linear programming with the intuitionistic polygonal fuzzy numbers
Fuzzy linear programming with the intuitionistic polygonal fuzzy numbersFuzzy linear programming with the intuitionistic polygonal fuzzy numbers
Fuzzy linear programming with the intuitionistic polygonal fuzzy numbers
 
The performance of artificial intelligence in prostate magnetic resonance im...
The performance of artificial intelligence in prostate  magnetic resonance im...The performance of artificial intelligence in prostate  magnetic resonance im...
The performance of artificial intelligence in prostate magnetic resonance im...
 
Seizure stage detection of epileptic seizure using convolutional neural networks
Seizure stage detection of epileptic seizure using convolutional neural networksSeizure stage detection of epileptic seizure using convolutional neural networks
Seizure stage detection of epileptic seizure using convolutional neural networks
 
Analysis of driving style using self-organizing maps to analyze driver behavior
Analysis of driving style using self-organizing maps to analyze driver behaviorAnalysis of driving style using self-organizing maps to analyze driver behavior
Analysis of driving style using self-organizing maps to analyze driver behavior
 
Hyperspectral object classification using hybrid spectral-spatial fusion and ...
Hyperspectral object classification using hybrid spectral-spatial fusion and ...Hyperspectral object classification using hybrid spectral-spatial fusion and ...
Hyperspectral object classification using hybrid spectral-spatial fusion and ...
 

Recently uploaded

一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
ydteq
 
Standard Reomte Control Interface - Neometrix
Standard Reomte Control Interface - NeometrixStandard Reomte Control Interface - Neometrix
Standard Reomte Control Interface - Neometrix
Neometrix_Engineering_Pvt_Ltd
 
CME397 Surface Engineering- Professional Elective
CME397 Surface Engineering- Professional ElectiveCME397 Surface Engineering- Professional Elective
CME397 Surface Engineering- Professional Elective
karthi keyan
 
weather web application report.pdf
weather web application report.pdfweather web application report.pdf
weather web application report.pdf
Pratik Pawar
 
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
AJAYKUMARPUND1
 
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxCFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
R&R Consult
 
power quality voltage fluctuation UNIT - I.pptx
power quality voltage fluctuation UNIT - I.pptxpower quality voltage fluctuation UNIT - I.pptx
power quality voltage fluctuation UNIT - I.pptx
ViniHema
 
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...
Amil Baba Dawood bangali
 
一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理
一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理
一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理
zwunae
 
ML for identifying fraud using open blockchain data.pptx
ML for identifying fraud using open blockchain data.pptxML for identifying fraud using open blockchain data.pptx
ML for identifying fraud using open blockchain data.pptx
Vijay Dialani, PhD
 
block diagram and signal flow graph representation
block diagram and signal flow graph representationblock diagram and signal flow graph representation
block diagram and signal flow graph representation
Divya Somashekar
 
Cosmetic shop management system project report.pdf
Cosmetic shop management system project report.pdfCosmetic shop management system project report.pdf
Cosmetic shop management system project report.pdf
Kamal Acharya
 
Hierarchical Digital Twin of a Naval Power System
Hierarchical Digital Twin of a Naval Power SystemHierarchical Digital Twin of a Naval Power System
Hierarchical Digital Twin of a Naval Power System
Kerry Sado
 
Design and Analysis of Algorithms-DP,Backtracking,Graphs,B&B
Design and Analysis of Algorithms-DP,Backtracking,Graphs,B&BDesign and Analysis of Algorithms-DP,Backtracking,Graphs,B&B
Design and Analysis of Algorithms-DP,Backtracking,Graphs,B&B
Sreedhar Chowdam
 
Planning Of Procurement o different goods and services
Planning Of Procurement o different goods and servicesPlanning Of Procurement o different goods and services
Planning Of Procurement o different goods and services
JoytuBarua2
 
road safety engineering r s e unit 3.pdf
road safety engineering  r s e unit 3.pdfroad safety engineering  r s e unit 3.pdf
road safety engineering r s e unit 3.pdf
VENKATESHvenky89705
 
J.Yang, ICLR 2024, MLILAB, KAIST AI.pdf
J.Yang,  ICLR 2024, MLILAB, KAIST AI.pdfJ.Yang,  ICLR 2024, MLILAB, KAIST AI.pdf
J.Yang, ICLR 2024, MLILAB, KAIST AI.pdf
MLILAB
 
Fundamentals of Electric Drives and its applications.pptx
Fundamentals of Electric Drives and its applications.pptxFundamentals of Electric Drives and its applications.pptx
Fundamentals of Electric Drives and its applications.pptx
manasideore6
 
Runway Orientation Based on the Wind Rose Diagram.pptx
Runway Orientation Based on the Wind Rose Diagram.pptxRunway Orientation Based on the Wind Rose Diagram.pptx
Runway Orientation Based on the Wind Rose Diagram.pptx
SupreethSP4
 
Railway Signalling Principles Edition 3.pdf
Railway Signalling Principles Edition 3.pdfRailway Signalling Principles Edition 3.pdf
Railway Signalling Principles Edition 3.pdf
TeeVichai
 

Recently uploaded (20)

一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
 
Standard Reomte Control Interface - Neometrix
Standard Reomte Control Interface - NeometrixStandard Reomte Control Interface - Neometrix
Standard Reomte Control Interface - Neometrix
 
CME397 Surface Engineering- Professional Elective
CME397 Surface Engineering- Professional ElectiveCME397 Surface Engineering- Professional Elective
CME397 Surface Engineering- Professional Elective
 
weather web application report.pdf
weather web application report.pdfweather web application report.pdf
weather web application report.pdf
 
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
 
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxCFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
 
power quality voltage fluctuation UNIT - I.pptx
power quality voltage fluctuation UNIT - I.pptxpower quality voltage fluctuation UNIT - I.pptx
power quality voltage fluctuation UNIT - I.pptx
 
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...
 
一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理
一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理
一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理
 
ML for identifying fraud using open blockchain data.pptx
ML for identifying fraud using open blockchain data.pptxML for identifying fraud using open blockchain data.pptx
ML for identifying fraud using open blockchain data.pptx
 
block diagram and signal flow graph representation
block diagram and signal flow graph representationblock diagram and signal flow graph representation
block diagram and signal flow graph representation
 
Cosmetic shop management system project report.pdf
Cosmetic shop management system project report.pdfCosmetic shop management system project report.pdf
Cosmetic shop management system project report.pdf
 
Hierarchical Digital Twin of a Naval Power System
Hierarchical Digital Twin of a Naval Power SystemHierarchical Digital Twin of a Naval Power System
Hierarchical Digital Twin of a Naval Power System
 
Design and Analysis of Algorithms-DP,Backtracking,Graphs,B&B
Design and Analysis of Algorithms-DP,Backtracking,Graphs,B&BDesign and Analysis of Algorithms-DP,Backtracking,Graphs,B&B
Design and Analysis of Algorithms-DP,Backtracking,Graphs,B&B
 
Planning Of Procurement o different goods and services
Planning Of Procurement o different goods and servicesPlanning Of Procurement o different goods and services
Planning Of Procurement o different goods and services
 
road safety engineering r s e unit 3.pdf
road safety engineering  r s e unit 3.pdfroad safety engineering  r s e unit 3.pdf
road safety engineering r s e unit 3.pdf
 
J.Yang, ICLR 2024, MLILAB, KAIST AI.pdf
J.Yang,  ICLR 2024, MLILAB, KAIST AI.pdfJ.Yang,  ICLR 2024, MLILAB, KAIST AI.pdf
J.Yang, ICLR 2024, MLILAB, KAIST AI.pdf
 
Fundamentals of Electric Drives and its applications.pptx
Fundamentals of Electric Drives and its applications.pptxFundamentals of Electric Drives and its applications.pptx
Fundamentals of Electric Drives and its applications.pptx
 
Runway Orientation Based on the Wind Rose Diagram.pptx
Runway Orientation Based on the Wind Rose Diagram.pptxRunway Orientation Based on the Wind Rose Diagram.pptx
Runway Orientation Based on the Wind Rose Diagram.pptx
 
Railway Signalling Principles Edition 3.pdf
Railway Signalling Principles Edition 3.pdfRailway Signalling Principles Edition 3.pdf
Railway Signalling Principles Edition 3.pdf
 

Electrical characterization of si nanowire GAA-TFET based on dimensions downscaling

  • 1. International Journal of Electrical and Computer Engineering (IJECE) Vol. 11, No. 1, February 2021, pp. 780~787 ISSN: 2088-8708, DOI: 10.11591/ijece.v11i1.pp780-787  780 Journal homepage: http://ijece.iaescore.com Electrical characterization of si nanowire GAA-TFET based on dimensions downscaling Firas Natheer Abdul-Kadir1 , Yasir Hashim2 , Mohammed Nazmus Shakib3 , Faris Hassan Taha4 1,4 Department of Electrical Engineering, College of Engineering, University of Mosul, Iraq 2 Department of Computer Engineering, Faculty of Engineering, Tishk International University, Iraq 3 Faculty of Electrical and Electronics Engineering Technology, Universiti Malaysia Pahang, Malaysia Article Info ABSTRACT Article history: Received Apr 30, 2020 Revised Aug 13, 2020 Accepted Sep 8, 2020 This research paper explains the effect of the dimensions of Gate-all-around Si nanowire tunneling field effect transistor (GAA Si-NW TFET) on ON/OFF current ratio, drain induces barrier lowering (DIBL), sub-threshold swing (SS), and threshold voltage (VT). These parameters are critical factors of the characteristics of tunnel field effect transistors. The Silvaco TCAD has been used to study the electrical characteristics of Si-NW TFET. Output (gate voltage-drain current) characteristics with channel dimensions were simulated. Results show that 50nm long nanowires with 9nm-18nm diameter and 3nm oxide thickness tend to have the best nanowire tunnel field effect transistor (Si-NW TFET) characteristics. Keywords: Downscaling GAA Nanowire Sub-threshold swing TFET This is an open access article under the CC BY-SA license. Corresponding Author: Yasir Hashim, Department of Computer Engineering, Tishk International University (TIU), Kurdistan-Erbil, Iraq. Email: yasir.hashim@tiu.edu.iq 1. INTRODUCTION The tunnel field-effect transistor (TFET) is a semiconductors device used to a promising candidate at low power applications in nanometer scales mostly because the conventional metal-oxide-semiconductor field effect transistor (MOSFET) approached the physical and thermal limits. However, the essential physical limitation of MOSFET that is to scale them at the submicron region is the pursuing short channel effects (SCEs) [1]. The silicon nanowire transistor is also used as a candidate device which has the excellent gate controlled and highly influenced electrical behavior to overcome the problems caused by short channel effects [2-5]. In the last decade, the rapid development in shrinking of semiconductors device led to the short channel effects as very harsh problem such as increasing drain induced barrier lowering (DIBL), and many research have been done in the last decade to find the substitutive device structure for striving improvements. Subsequently device structures such as double-gate (DG), surrounding-gate (SG), gate all around (GAA) and carbon nano tube (CNT) FinFETs and graphene-nano-ribbon (GNR) transistors have been incited for resolving the scaling matter of bulk transistors [6-11]. Gate all around-silicon nano wire tunneling FET (GAA-SiNWTFET) has most optimized gate structure than the FinFETs. The key performance for a transistor is the drain current (Id), drain induced barrier lowering (DIBL), threshold voltage (VT), sub-threshold slop (SS) and faster switching performance (ION/IOFF) which is related to the sub-threshold slop when the transistor operate at low voltage [12].
  • 2. Int J Elec & Comp Eng ISSN: 2088-8708  Electrical characterization of si nanowire GAA-TFET based on… (Firas Natheer Abdul-Kadir) 781 SS ≅ (1 + 𝐶𝑑 𝐶𝑜𝑥 𝑙𝑛 𝐾𝑇 𝑞 ) (1) Where Cd and Cox are the drain and oxide capacitance, respectively with: 𝑙𝑛 𝐾𝑇 𝑞 = 60 𝑚𝑉/ 𝑑𝑒𝑐 (2) The sub-threshold slop (SS) is the voltage applied on the gate to change the drain current by decade [13]. To obtaining a low sub-threshold slop (SS < 60mV /dec) and high switching performance (ION/IOFF > 105 ) [14], the quantum mechanism in tunneling TFETs has been introduced as a substitution carrier injection mechanism in MOSFETs which suffers from thermal limitation [15-17]. Other advantages of the TFETs are to reduce leakage current, and to provide higher current than the MOSFET, better electrostatic control, prevention of the short channel effects and suitable to fabricate with CMOS processing techniques [18-22]. Therefore the TFETs have been gaining popularity over MOSFETs in the technology nodes [23]. Several excellent article and overview have been done in the last few years ago, which summarize the TFET modern on specific TFET topic [24]. According to aforementioned results that are about characterization and features for TFET, this paper is proposed .Therefore the importance of the work lies in what it shows from investigated characterization for electrical parameters which can be critical factor of TFET. 2. RESEARCH METHOD The GAA NW Si-TFET is a P-I-N structure with an intrinsic semiconductor part (I) between heavily doped source (p+ ) and the drain (n+ ). By using band-to-band tunneling FET mechanism, gate all around controls the tunneling between the channel and (source and drain) regions as showed in Figure 1 [25] Figure 2 shows a cross-sectional area of the device. The silicon channel radius is (R) for the gate length (L) which has doping concentration with 1016 per cm-3 , SiO2 has been used as a gate oxide dielectric and the constant doping profile has been selected of 1020 per cm-3 for the both source and drain region. The tunneling process is transfer electron or hole through the junction, this process causes pairs of electrons and holes, hence the transfer rates of electrons and holes are opposite and equal [26]. We used in this work non local band to band tunneling model to vestige the tunneling generation rate across a tunneling length and incorporates the change in the electric field along the tunneling length. This model is more accurate for reverse biased tunneling junction with high doping and conservation sub- threshold slop up to 60 mV/ dec. (a) (b) Figure 1. Energy band for a TFET a normally off device. (a) the gate fully depletes the channel, (b) a positive gate voltage turns the channel on [23] Figure 2. The schematic 3D structure, and (b) the overall dimension of GAA FET
  • 3.  ISSN: 2088-8708 Int J Elec & Comp Eng, Vol. 11, No. 1, February 2021 : 780 - 787 782 The device has been structured and simulated by using Silvaco TCAD [27] in specified scaling down dimensions within underlying physics with tunneling phenomena proposed by Kane [28]. The designed TFET in this paper, simulate with various dimensions for channel radius (R), channel length (L) and gate oxide thickness (TOX) to study the electrical characterization and analysis importance parameters effects on the device such as DIBL, SS, Gm, VT and ON/OFF current ratio. The dimensions profile has been selected to be (25, 18, 9, 5) nm for channel radius, (200, 100, 50, 25) nm for channel length and (4, 3, 2, 1) nm for gate oxide thickness. The software can generate useful characteristic GAA TFET curves for researchers, especially to fully explain the underlying physics of TFET. This simulation tool is utilized to investigate the characteristics of the Si-GAA TFET based on various channel’s parameters. The output characteristic curves of the transistor under different conditions and with different parameters are considered. The effects of variable channel dimensions, namely; channel length, width and oxide thickness in addition to scaling factor of the TFET, are determined based on the I–V characteristics that derived from the simulation. In this paper, the Id–Vg characteristics of transistor at the temperature of 300 K are simulated and evaluated with the simulation parameters for channel lengths, channel diameters, and channel oxide thicknesses have been listed in Table 1. Table 1. Simulation parameters Simulation type Variable Parameters Constant Parameters Channel length effect Channel length (L) (25, 50, 100, and 200) nm Channel radius (R) (5) nm Oxide thickness (TOX) (1) nm Channel Doping (P) 1016 cm−3 Drain Doping (P+ ) 1020 cm−3 Source Doping (N+ ) 1020 cm−3 Drain length 80 nm Source length 80nm Channel radius effect Channel radius (R) (5, 9, 18, and 25) nm Channel length (L) (200) nm Oxide thickness (TOX) (1) nm Channel Doping (P) 1016 cm−3 Drain Doping (P+ ) 1020 cm−3 Source Doping (N+ ) 1020 cm−3 Drain length 80 nm Source length 80nm Channel Oxide thickness effect Oxide thickness (TOX) (1, 2, 3, and 4) nm Channel length (L) (200) nm Channel radius (R) (5) nm Channel Doping (P) 1016 cm−3 Drain Doping (P+ ) 1020 cm−3 Source Doping (N+ ) 1020 cm−3 Drain length 80 nm Source length 80nm Three simulation steps were conducted to evaluate the dimensions dependent performance of TFET in terms of the considered metrics. In the first step, channel length has been varied, whereas other channel dimensions (R and Tox) were kept with constant values. In the second step, the effect of changing channel diameter has been investigated with both channel length and oxide thickness of channel was kept constant. In the final step, oxide thickness was varied and length and radius of channel were fixed. 3. RESULTS AND DISCUSSIONS In this section, the results of dimensional effect on the electrical characteristics presented and discussed. Downscaling of length of channel (L), radios of nanowire of channel (R), and oxide thickness (TOX) and its effect on the ION/IOFF ratio, sub-threshuld swing (SS), drain indused barrier lowering (DIBL), treshuld voltage (VT), and transconductance (Gm) of channel have been studied. 3.1. Downscaling channel length The result of the effect of scaling down of channel length (L) on the electrical characteristics of GAA NW-TFET has been investigated, the channel length L has been scaled down from 200nm to 25nm, whereas oxide thickness and radius were kept constant at 1 nm and 5 nm, respectively. Also, the drain voltage for transfer characteristics has been chosen to be VDD  1 V. The simulation of transfer characteristics (drain current Id–gate voltage Vg) has been conducted with different values of channel lengths L, where L=25, 50, 100, 200nm.
  • 4. Int J Elec & Comp Eng ISSN: 2088-8708  Electrical characterization of si nanowire GAA-TFET based on… (Firas Natheer Abdul-Kadir) 783 Based on the obtained results that illustrated in Figure 3, the ION/IOFF ratio exponentially increases with the channel length less than 100 nm, while, for channel length above 100nm the ION/IOFF were almost constant. As shown in Figure 3, the maximum value of the ION/IOFF ratio is more than 3.2*103 at L ≥ 100 nm. Figure 4 shows the relation of SS and DIBL characteristic with channel length, this figure explain that the SS improved and decreased as the channel length increased up to 50nm and reached 72.6 mV/dec, while, for L ≥ 50nm, the values of SS were almost constant. For DIBL, the results in Figure 4 shows that the DIBL decreases with increasing channel length up to 100nm, then the values of DIBL were almost constant at 106 mV/V. Figure 5 shows the relation of length of gate with transconductance (Gm) and threshold voltage (VT), both VT and Gm increased linearly with L up to L=50nm, then both (Gm and VT) almost constant for L ≥ 50nm. According these results the best and minimal Lg must be about 50 nm that has best DIBL, Gm and VT with acceptable ION/IOFF. Figure 3. Characteristics of ION/IOFF ratio with L Figure 4. The characterestics of SS and DIBL with channel length Figure 5. The length of gate effect on transconductance (Gm) and threshold voltage (VT) 3.2. Downscaling channel radius The minimizing of channel radius R and its effect on the electrical characteristics of GAA TFET have been investigated in this section. The value of R was changed (5, 9, 18 and 25 nm) while L=200nm and TOX = 15 nm. Figure 6 shows the electrical characteristics of ION/IOFF ratio depending on the effect of changing channel radius R. The ION/IOFF ratio for both voltages (VD = 1 V and VG = 1.5 V). The ION/IOFF ratio is increasing proportional with increasing channel radius. It is possible to recognize that at R lower than 10nm there are highly increasing in ION/IOFF ratios, while at R higher than 10nm there are lower increasing in ION/IOFF ratios. So, if the channel dimeter minimize from 25nm to 10nm, the ION/IOFF ratios with decreased
  • 5.  ISSN: 2088-8708 Int J Elec & Comp Eng, Vol. 11, No. 1, February 2021 : 780 - 787 784 from 3.9 *105 to 7*104 respectively. While, the minimizing the channel radius from 10nm to 5nm will drop down the ION/IOFF ratios from 7*104 to 3.2*103 respectively. Figure 7 depicts the variation of SS and DIBL values with variable channel radius. The SS highly improved and increased from 72.8 to 57.5 mV/dec when the radius changed from 5 to 10nm respectively, the SS increased slightly to 50 mV/dec when the radius increased to 25nm. Figure 7 illustrate that the BIDL behavior look like same as SS, the DIBL improved and dropped highly also from 116 to 60 mV/V with radius from 5 to 10 nm respectively, and dropped slightly from 60 to 38 mV/V with the range of channel radius 10 to 25nm. Furthermore, the impacts of varying channel radius on VT and Gm are illustrated in Figure 8. The threshold voltage is almost constant regardless channel width except at the R = 10 nm, where VT scores the highest value of 0.13 V. Finally, the Gm increased as channel radius increased. GGA TFET achieved higher Gm at D = 25 nm, the Gm characteristics increased with decreasing R and achieved the lower value at D = 5 nm. According these results the minimal R with good electrical characteristics must be about 10 nm that has best DIBL, Gm and VT with acceptable ION/IOFF. Figure 6. Characteristics of ION/IOFF ratio with R Figure 7. The variation of SS and DIBL with R Figure 8. Characteristics of VT and Gm with R 3.3. Downscaling channel oxide thickness Figures 9 to 11 show the channel oxide thickness variation in relation to the electrical characteristics of GAA TFET. For this simulation step, TOX has been varied (1, 2, 3 and 4 nm), the channel length and channel radius has been kept constant at 200 nm and 5nm respectively. Figure 9 illustrates the relation
  • 6. Int J Elec & Comp Eng ISSN: 2088-8708  Electrical characterization of si nanowire GAA-TFET based on… (Firas Natheer Abdul-Kadir) 785 between the ION/IOFF ratio with the channel oxide thickness. The minimum ION/IOFF ratio (3.1*103 ) with VDD = 1 V was obtained at minimum TOX = 1 nm and then increased to 2.5*1013 at TOX = 4 nm. From the results shown in Figure 10, it is clear that for a lower channel oxide thickness, TOX = 1 nm the TFET has shown worse SS characteristics with the best SS value of 72.8 mV/dec compared to other TOX values. The SS improved with increasing TOX and the best value (21.4 mV/V) was at TOX = 3nm. Figure 10 also displays channel oxide thickness versus DIBL characteristics of TFET. DIBL increased linearly with increasing TOX, the best value at TOX =1nm. Figure 11 represents the relation of both VT and Gm, Gm has a peak value at 2nm while VT increased with increasing Tox and its value almost constant after TOX =1nm. According these results the minimal TOX with good electrical characteristics must be 2 nm that has best DIBL, Gm and VT with acceptable ION/IOFF. Figure 9. Characteristics of ION/IOFF ratio with TOX Figure 10. The characterestics of SS and DIBL with TOX Figure 11. Characteristics of VT and Gm with TOX 4. CONCLUSION The downscaling effect on the electrical characteristics of GAA Si-NW TFET has been investigated, TCAD simulation tool has been used to create the output characteristics of TFET and the critical parameters related to the electrical characteristics transistor. Downscaling of length of channel (L), radios of nanowire of channel (R), and oxide thickness (TOX) and its effect on the ION/IOFF ratio, sub-threshuld swing (SS), drain indused barrier lowering (DIBL), treshuld voltage (VT), and transconductance (Gm) of channel have been studied. The results shows that the minimal channel length with good electrical characteristics was at 50nm, the minimal channel redius with good electrical characteristics was at 10nm, and finally, the minimal channel oxide thickness with good electrical characteristics was at range 2 to 3nm.
  • 7.  ISSN: 2088-8708 Int J Elec & Comp Eng, Vol. 11, No. 1, February 2021 : 780 - 787 786 ACKNOWLEDGEMENTS The authors would like to thank Ishik International university (TIU), University of Mosul, and University Malaysia Pahang (UMP) for their support, This work was supported by the RDU Grant (No: RDU1803150) of the Universiti Malaysia Pahang, Malaysia. REFERENCES [1] M. Neisser and S. Wurm, “ITRS lithography roadmap: 2015 challenges,” Advanced Optical Technologies, vol. 4, no. 4, pp. 235-240, 2015. [2] S. Bangsaruntip, et al., “High performance and highly uniform gate-all-around silicon nanowire MOSFETs with wire size dependent scaling,” IEEE Int. Electron Devices Meeting, Baltimore, pp. 1-4, 2009. [3] Y. Hashim O. Sidek, “Dimensional Effect on DIBL in Silicon Nanowire Transistors,” Advanced Materials Research, vol. 626, pp. 190-194, 2013. [4] H. T. Al Ariqi, W. A. Jabbar, Y. Hashim, H. B. Manap, “Characterization of silicon nanowire transistor,” TELKOMNIKA Telecommunication, Computing, Electronics and Control, vol. 17, no. 6, pp. 2860-2866, 2019. [5] Y. Hashim, “Optimization of Resistance Load in 4T-Static Random-Access Memory Cell Based on Silicon Nanowire Transistor,” Journal of Nanoscience and Nanotechnology, vol. 18, no. 2, pp. 1199-1201, 2018. [6] V. M. Srivastava, K. S. Yadav, and G. Singh, “Design and performance analysis of cylindrical surrounding double- gate MOSFET for RF switch,” Microelectronics Journal, vol. 42, no.10, pp. 1124-1135, 2011. [7] A. H. Bayani, D. Dideban, J. Voves, and N. Moezi, “Investigation of sub-10nm cylindrical surrounding gate germanium nanowire field effect transistor with different cross-section areas,” Superlattices and Microstructures, vol. 105, no. 1, pp. 110-116, 2017. [8] V. M. Srivastava, “Small signal model of cylindrical surrounding double-gate MOSFET and its parameters,” Int. Conf. on Trends in Automation, Communications and Computing Technology, pp. 1-5, 2015. [9] S. K. Dargar and V. M. Srivastava, “Analysis of short channel effects in multiple-gate (n, 0) carbon nanotube FETs,” Journal of Engineering Science and Technology, vol. 14, no. 6, pp. 3282-3293, 2019. [10] N. Singh, et al., “High-performance fully depleted silicon nanowire (diameter/spl les/5 nm) gate-all-around CMOS devices,” IEEE Electron Device Letters, vol. 27, no. 5, pp. 383-386, 2006. [11] S. K. Dargar and V. M. Srivastava, “Performance analysis of 10 nm FinFET with scaled fin-dimension and oxide thickness,” International Conference on Automation, Computational and Technology Management, 2019. [12] A. K. Bansal, et al., "3-D LER and RDF Matching Performance of Nanowire FETs in Inversion, Accumulation, and Junctionless Modes," IEEE Transactions on Electron Devices, vol. 65, no. 3, pp. 1246-1252, 2018. [13] M. I. Dewan, M. T. B. Kashem, and S. Subrina, “Characteristic analysis of triple material tri-gate junctionless tunnel field effect transistor,” 9th Int. Conf. on Electrical and Computer Engineering (ICECE), pp. 333-336, 2016. [14] A. Seabaugh, "The Tunneling Transistor," IEEE Spectrum, vol. 50, no. 10, pp. 35-62, 2013. [15] W. Y. Choi, B. G. Park, J. D. Lee, and T. J. K. Liu, “Tunneling field-effect transistors (TFETs) with Subthreshold Swing (SS) less than 60 mV/dec,” IEEE Electron Device Letters, vol. 28, no. 8, pp. 743-745, 2007. [16] Ahmed Mahmood, Waheb A Jabbar, Yasir Hashim, Hadi Bin Manap, “Effects of downscaling channel dimensions on electrical characteristics of InAs-FinFET transistor,” International Journal of Electrical & Computer Engineering (IJECE), vol. 9, no. 4, pp. 2902-2909, 2019. [17] Y Hashim, “Temperature effect on ON/OFF current ratio of FinFET transistor,” IEEE Regional Symposium on Micro and Nanoelectronics (RSM), pp. 231-234, 2017. [18] Y. Guan, Z. Li, W. Zhang, and Y. Zhang, “An accurate analytical current model of double-gate heterojunction tunneling FET,” IEEE Trans. on Electron Devices, vol. 64, no. 3, pp. 938-944, 2017 [19] A. C. Seabaugh and Q. Zhang, "Low-Voltage Tunnel Transistors for Beyond CMOS Logic," Proceedings of the IEEE, vol. 98, no. 12, pp. 2095-2110, 2010. [20] B. Jena, S. Dash and G. P. Mishra, "Improved Switching Speed of a CMOS Inverter Using Work-Function Modulation Engineering," IEEE Trans. on Electron Devices, vol. 65, no. 6, pp. 2422-2429, 2018. [21] A. Kumar, S. Bhushan, and P. K. Tiwari, “A threshold voltage model of silicon-nanotube-based ultrathin double gate-all-around (DGAA) MOSFETs incorporating quantum confinement effects,” IEEE Trans. on Nanotechnology, vol. 16, no. 5, pp. 868-875, 2017. [22] J. Dura, et al., “Analytical model of drain current in nanowire MOSFETs including quantum confinement, band structure effects and quasi-ballistic transport: device to circuit performances analysis,” Int. Conf. on Simulation of Semiconductor Processes and Devices (ICSSPD), pp. 43-46, 2011. [23] H. R. T. Khaveh, S. Mohammadi, “Potential and drain current modeling of gate-all-around tunnel FETs considering the junctions depletion regions and the channel mobile charge carriers,” IEEE Trans. on Electron Devices, vol. 63, no. 12, pp. 5021-5029, 2016. [24] S. Glass et al., "A Novel Gate-Normal Tunneling Field-Effect Transistor With Dual-Metal Gate,” IEEE Journal of the Electron Devices Society, vol. 6, pp. 1070-1076, 2018. [25] AC Seabaugh, Q Zhang., “Low-Voltage Tunnel Transistors for Beyond CMOS Logic,” Proceedings of the IEEE, vol. 98, no. 12, pp. 2095-2110, 2010. [26] S. Kang, et al., “Interlayer tunnel fieldeffect transistor (ITFET): Physics, fabrication and applications,” Journal of Physics D: Applied Physics, vol. 50, no. 38, 2017.
  • 8. Int J Elec & Comp Eng ISSN: 2088-8708  Electrical characterization of si nanowire GAA-TFET based on… (Firas Natheer Abdul-Kadir) 787 [27] M. Khaouani, and A. Guen-Bouazza, “Impact of multiple channels on the characteristics of rectangular GAA MOSFET,” International Journal of Electrical and Computer Engineering (IJECE), vol. 7, no. 4, pp. 1899-1905, 2017. [28] E. O. Kane, “Theory of tunneling,” Journal of Applied Physics, vol. 32, no. 1, pp. 83-91, 1961 BIOGRAPHIES OF AUTHORS Firas N. Abdul-kadir received the B.Sc. in Medical Instruments Engineering from Mosul Technical College and Master of Engineering in Electronics and Communications Engineering from the University of Mosul, Mosul, Iraq, in 1998 and 2013 respectively. He is currently an Assistant Lecturer in the Department of Electrical Engineering, College of Engineering, Mosul University, Mosul, Iraq. His research interests include Microelectronics and Nanoelectronic, MOSFET nono-structure and carbon-nano tube (CNT). Email: firas_nadheer@uomosul.edu.iq Yasir Hashim (SMIEEE) received the B.Sc. and Master of Engineering in Electronics and Communications Engineering from the University of Mosul, Mosul, Iraq, in 1991 and 1995 respectively. He completed the Ph.D. in Electronics Engineering-Micro and Nanoelectronics from Universiti Science Malaysia (USM), Penang, Malaysia, in 2013. He is currently a Senior Lecturer in the Department of Computer Engineering, Faculty of Engineering, Ishik University, Erbil-Kurdistan, Iraq. His research interests include Microelectronics and Nanoelectronic: Nanowire transistors, FinFET transistor, Multistage Logic Nano-inverters. Mohammed Nazmus Shakib received his B.Sc. degree in Electronics Engineering from Multimedia University, Malaysia, the M.Sc. degree from National University of Malaysia, Malaysia and the Ph.D. from the University of Malaya, Malaysia. He is currently attached to the Faculty of Electrical & Electronics Engineering Technology, University Malaysia Pahang, Malaysia. He has published many international conferences and journals. He is also a Reviewer of a few journals such as IET, PIER, JEMWA, IEEE Access, Elsevier, etc. His research interests mainly include electronics, sensors, RF, measurement antennas, patch antennas, wearable devices, implantable devices, wireless communication and UWB technology. Faris Hassan Aldabbagh received the MSc degree in Electronic and communication from the University of Mosul, Mosul, Iraq, in 1995 and received PhD degree in 2013 in Solid State Electronics from University of Mosul, Mosul, Iraq. His research interests include Microelectronics and Nanoelectronic.