KimJang Hyun1
Kim,Sangwan2,*
-
(School of Electrical Engineering, Pukyong National University, 45 Yongso-ro, Nam-gu,
Busan 48513, Korea)
-
(Department of Electrical and Computer Engineering, Ajou University, Suwon 16499, Korea)
Copyright © The Institute of Electronics and Information Engineers(IEIE)
Index Terms
Tunnel field-effect transistor, TFET, nonlinear output characteristics, BTBT
I. INTRODUCTION
Recently, tunnel field-effect transistor (TFET) has been researched widely due to
their applicability for the low-power operations (1-4). In case of metal-oxide-semiconductor FET (MOSFET), which is conventionally utilized
in the various circuits, there exists theoretical limit of 60 mV/dec subthreshold
swing (SS) at the room temperature (RT) because its carrier injection is based on
the thermionic emission (5,6). On the other hand, TFET is relatively independent to the Boltzmann distribution
since the function tail is removed by forbidden gap. In addition, its dominant carrier
injection mechanism is a band-to-band tunneling (BTBT) (7,8). Thus, the SS can be reduced to less than Boltzmann limit (i.e., 60 mV/dec at RT),
which allows the supply voltage ($V_{DD}$) to be scaled down drastically maintaining
high ON-state current ($I_{ON}$). However, TFET still has unsolved nonlinear current
(NLC) problem in output characteristics especially at low drain bias ($V_{DS}$) (9,10). The NLC issue (i.e., small output conductance) significantly degrades the performance
of TFET circuits such as rising and falling delay. However, the analysis of NLC have
not been studied rigorously, yet.
This paper aims to study a fundamental origin of the NLC in output characteristics
through technology computer-aided design (TCAD) simulations. Especially, the analysis
of NLC is mainly performed to identify channel potential pinning in particular bias
condition. The details about this study are as follow. After briefly explain the device
process flow, BTBT model in the simulation tool is calibrated according to the parameters
from the fabricated devices. Then, NLC phenomena in output characteristics are examined
with the help of the energy band diagrams and channel potential. In addition, gate-to-drain
capacitance ($C_{GD}$) and charge density in channel are also discussed.
II. DEVICE AND SIMULATION
First of all, before the TCAD simulations, a BTBT model calibration is performed based
on experimental results. Fig. 1 shows the device structure of TFET. It is fabricated on a (100) $p$-type silicon-on-insulator
(SOI) wafer. First, SOI thickness is thinned by using wet oxidation and wet etching
processes. Active region is defined using photolithography and reactive ion etching
(RIE) process. After that, gate oxide ($T_{OX}$ = 3 nm) is grown by dry oxidation.
An n-type doped polycrystalline-Si gate is deposited by using low pressure chemical
vapor deposition (LPCVD). After gate patterning, asymmetric source and drain (S/D)
are formed through photolithography and ion implantation processes. In detail, BF$_{2}$
with 8×1014 cm$^{-2}$-dose, 7º tilt, and 10 keV-acceleration energy is used for source
implantation while drain implantation is performed by As ions with the same condition.
The dopant activation is implemented by rapid thermal process (RTP) with 900 ºC and
5 sec. Finally, as a back-end-of-line (BEOL) processes, a tetra-ethyl-ortho-silicate
(TEOS) is deposited by plasma-enhanced CVD (PECVD) as an inter-layer dielectric (ILD)
and metal layers (Ti/TiN/Al/TiN stacks) are deposited by physical vapor deposition
(PVD) after contact hole formation. All the transfer characteristics are measured
at $V_{DS}$ of 0.1 V and TCAD simulations are performed by using Synopsys SentaurusTM
(11). A BTBT generation rate per unit volume ($G$) defined as
in the uniform electric field limit where $F_{0}$ = 1 V/m and $P$ = 2.5 for indirect
tunneling
(11). The prefactor ($A$) and the exponential factor ($B$) are Kane parameters while the
F is electric field. The $A$ and $B$ values are chosen for the best fitting between
the simulated and measured data
(Fig. 1(b)) (12,13). From the results, it is found that both linear and log scales of the transfer characteristics
are well matched. The extracted $A$ and $B$ parameters of the BTBT model in Si TFET
are 4×10$^{14}$ cm$^{-1}$s$^{-1}$ and 9.9×10$^{6}$ V/cm, respectively.
Fig. 1. Cross-sectional views of TFET for BTBT calibration, (b) Calibrated transfer
characteristics from simulation and measurement results for TFET.
Table 1. Simulation parameters
Abbreviations
|
Description
|
Quantity
|
$T_{Si}$
|
Body thickness
|
100 nm
|
$T_{OX}$
|
Gate dielectric thickness
|
1 nm
|
$L$
|
Channel length
|
500 nm
|
$W$
|
Channel width
|
1 mm
|
$N_{D}$
|
Drain doping concentration
|
n-type 1020 cm-3
|
$N_{B}$
|
Body doping concentration
|
p-type 1015 cm-3
|
$N_{S}$
|
Source doping concentration
|
p-type 1020 cm-3
|
The simulated TFET for NLC analysis has same structure in Fig. 1(a) and it is designed to analyze output characteristics with the low $V_{DS}$, which
is known as linear region. The simulated TFET features 100 nm-thick body thickness
($T_{Si}$), 1 nm-$T_{OX}$ and 500 nm channel length ($L$) to suppress short channel
effects. In addition, an abrupt S/D doping profiles are assumed to minimize depletion
region between S/D and channel. The specific information are summarized in Table 1. A dynamic nonlocal BTBT and a Shockley–Read–Hall generation-recombination models
are used for the simulation (14).
III. RESULTS AND DISCUSSION
The output characteristics of the TFET are studied by increasing gate voltage ($V_{GS}$)
from 0.1 to 2.5 V with 0.4 V step (Fig. 2(a)). The output current can be classified into two characteristics. First, the drain
current ($I_{D}$) cannot be increased regardless of $V_{GS}$ at a very low $V_{DS}$.
In this operating condition, the $I_{D}$ is increased exponentially as a function
of $V_{DS}$. Second, as the $V_{DS}$ increases, the increasing rate of $I_{D}$ gradually
reduced and finally the $I_{D}$ is saturated. The NLC is confirmed at the first characteristic.
The nonlinear characteristic severely degrades $I_{D}$ compared with linearly increasing
case (e.g., MOSFET). The low current at low $V_{DS}$ is confirmed by transconductance
curves in Fig. 2(b). Transconductance shows very small values near zero $V_{DS}$. The small transconductance
significantly degrades the performance of TFET circuits such as propagation delay
due to the low current drivability.
Fig. 2. (a) Output characteristics of TFET with various $V_{GS}$, (b) Transconductance
as a function of $V_{DS}$ with the various $V_{GS}$.
Fig. 3. Extracted channel potential as a function of $V_{DS}$ with the various $V_{GS}$.
The channel potential is extracted at 1 nm below the gate oxide according to the source-to-drain
direction.
It is well known that the current in TFET is determined by the BTBT rate at source-to-channel
junction. Therefore, in order to analyze NLC behavior, a channel potential is extracted
as a function of $V_{DS}$ with 1.5 V and 2.5 V of $V_{GS}$ (Fig. 3). The results show that the channel potential can be classified into two regions.
First, the $V_{DS}$ < $V_{GS}$ conditions are defined as non-saturation regions. Note
that, the NLC is confirmed at this region. In this region, there is only 0.25 V-potential
difference between two curves even though the increased amount of $V_{GS}$ is 1 V
(i.e., from 1.5 V to 2.5 V). In other words, the channel potential is rarely modulated
by the $V_{GS}$ and it is concluded that the $I_{D}$ is restricted by the pinned channel
potential. Second, the $V_{DS}$ > $V_{GS}$ conditions are defined as saturation regions,
in which the channel potential remains a constant although the $V_{DS}$ is increased.
In addition, the saturation regions in terms of $V_{GS}$ could be also confirmed in
Fig. 2(b), where the transconductance is zero. The difference of channel potential between
two curves is about 1.0 V, corresponded to the $V_{GS}$ difference. It means that
the channel potential is modulated proportionally to the applied $V_{GS}$ in this
region.
Fig. 4. (a) Electron density distributions at the channel as the $V_{DS}$ increases.
They are extracted along the depth direction as shown in the inset, (b) Extracted
$C_{GD}$ as a function of $V_{DS}$ with the various $V_{GS}$. As the $V_{GS}$ increases,
the $C_{GD}$ is shifted to the positive direction, (c) Illustration of energy band
diagram with channel inversion.
In order to confirm the cause of the channel potential pinning in non-saturation region
rigorously, the density of the electron charges (inversion charges) on channel is
investigated (Fig. 4(a)). The results show that the electrons are piled on the channel at the 2.5 V of $V_{GS}$
and 0 V of $V_{DS}$. In addition, with increasing $V_{DS}$, the electrons in the channel
are decreased. It means that the modulating channel potential is restricted by the
inversion charges from drain. Then, to investigate the amount of inversion changes
depending on the bias condition, the $C_{GD}$ is simulated with various $V_{GS}$ (Fig. 4(b)). It is well corresponded to the results shown in Fig. 4(a) that the $C_{GD}$ is decreased as the $V_{DS}$ is increased. In addition, when higher
$V_{GS}$ is applied, $C_{GD}$ is decreased at more positive $V_{DS}$. The reason is
that with low $V_{DS}$ or high $V_{GS}$, there is low band bending in the channel-to-drain
junction, which implies a small energy barrier and high inversion charges in the channel
(Fig. 4(c)) (14-16). Therefore, when a low $V_{DS}$ is applied, the channel potential is rarely modulated
by $V_{GS}$ and limits the tunneling from the source to the channel, results in the
NLC phenomenon.
IV. CONCLUSIONS
This paper aim to study the NLC behavior in output characteristics which have been
detected in TFET operation. When low $V_{DS}$ is applied in TFET, it has been revealed
that inversion carriers of TFETs are provided from the drain. The inversion charges
result in inhibiting channel band bending, which is modulated by $V_{GS}$. Thus, the
dominant NLC mechanism is found that the inversion charges from drain region confined
the channel modulation.
ACKNOWLEDGMENTS
This research was supported in part by the Brain Korea 21 Plus Project, in part by
the MOTIE/KSRC under Grant 10080575 (Future Semiconductor Device Technology Development
Program), and in part by the NRF of Korea funded by the MSIT under Grant NRF-2019M3F3
A1A03079739 and NRF-2019M3F3A1A02072091 (Intelligent Semiconductor Technology Development
Program). The EDA tool was supported by the IC Design Education Center (IDEC), Korea.
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Author
was born in Seoul, South Korea, in 1985. He received BS. Degrees from Korea Advanced
Institute of Science (KAIST), Daejeon, South Korea, in 2009, and M.S. and Ph.D. degrees
in electrical engineering from Seoul National University, Seoul, in 2011 and 2016,
respectively.
From 2016 to 2020, he joined SK Hynix inc. He is currently an Assistant Professor
with the School of Electrical Engineering, Pukyong National University.
was born in Daegu, South Korea, in 1983. He received the B.S., M.S., and the Ph.D.
degrees in Electrical Engineering from Seoul National University, Seoul, South Korea,
in 2006, 2008, and 2014, respectively.
He had been a post-doctoral scholar at the Department of Electrical Engineering and
Computer Sciences, University of California, Berkeley, USA, from 2014 to 2017.
Since 2017, he has been a Faculty Member with Ajou University, Suwon, South Korea,
where he is currently an Associate Professor with the Department of Electrical and
Computer Engineering.