Zhao Mengjie1
Lü Weifeng1*
Xie Ziqiang1
Guo Mengxue1
Lin Mi1
-
(Key Laboratory for RF Circuits and Systems, Hangzhou Dianzi University, Hangzhou 310018,
China)
Copyright © The Institute of Electronics and Information Engineers(IEIE)
Index Terms
Negative-capacitance effect, FinFET, fin shape variation, trapezoidal FinFET
I. INTRODUCTION
One of the main factors limiting the further scaling of ultra-small complementary
metal-oxide-semiconductor (CMOS) devices is the excessive power consumption density
in an integrated circuit. To explore low-power nanoscale devices, a negative-capacitance
field effect transistor (NCFET) was first proposed by Salahuddin and Datta in 2008
[1]. The NCFET achieves a low-power target by breaking through the Boltzmann thermodynamic
limit. Owing to the HfO$_{2}$-based ferroelectric materials, NCFETs are easily compatible
with the standard nanometre-scale CMOS process. Therefore, NCFETs have attracted significant
attention and are among the most promising candidates for Internet-of-Things applications
with super steep subthreshold swings (SSs) [2-5].
In recent years, fin field effect transistors (FinFETs) have been utilised as baseline
devices in the fabrication of negative-capacitance fin field-effect transistors (NC-FinFETs)
[6-8]. Owing to an internal voltage amplification, NC-FinFETs provide many dominant characteristics
compared with conventional FinFETs, including a higher on-state current ($I_{\mathrm{ON}}$),
lower off-state current ($I_{\mathrm{OFF}}$), and improved short-channel effects (SCEs),
such as drain-induced barrier lowering (DIBL) [9-11].
However, thus far, the investigated FinFETs have been considered to have ideal rectangular
fins, whereas their actual shapes when fabricated are trapezoidal, as seen from microscope
cross-sectional images of FinFETs [12]. The trapezoidal FinFET has a fin top width (W$_{\mathrm{Fin,Top}}$) shorter than
its bottom width (W$_{\mathrm{Fin,Bot}}$). Owing to the limitations of the etching
technique, the angle between the side and bottom of the fin is similar to that of
a trapezoidal shape. It has been proven that the fin shape significantly influences
the SCE and radio frequency/analogue performance of conventional FinFETs [13-16]. However, with the negative capacitance (NC) effect, the impact of the trapezoidal
fin shape on the NC-FinFET performance is not yet clearly understood. Therefore, this
is addressed in the present study.
The remainder of this paper is organised as follows. The device structures, simulation
model, and different design parameters are described in Section 2. In Section 3, the
simulation results are detailed and analysed. Finally, conclusions are presented in
Section 4.
II. DEVICE PARAMETERS AND SIMULATION METHODS
A 3D schematic of the proposed NC-FinFET with a trapezoidal fin shape is presented
in Fig. 1(a); Fig. 1(b) compares the rectangular and trapezoidal cross-sectional views of the fin. The profile
of the trapezoidal fin in Fig. 1(b) is more consistent with the shape of the fin in actual manufacturing [17].
The relevant parameters of the device are listed in Table 1. To investigate the effects of different fin shapes, we varied W$_{\mathrm{Fin,Top}}$
from 2 to 6 nm at a fixed W$_{\mathrm{Fin,Bot}}$ of 6~nm. The work function of the
metal gate material is 4.5~eV. The source/drain (S/D) and channel were uniformly doped
with arsenic and boron, and their doping concentrations are listed in Table 1. Higher doping in the S/D region is beneficial for reducing the parasitic resistance
of the S/D extension region [18]. The device I$_{\mathrm{ds}}$-V$_{\mathrm{gs}}$ curves of the baseline FinFET was
calibrated with the experimental data [19], as is shown in Fig. 2.
The NC-FinFET comprises a ferroelectric layer on the top of the interfacial oxide
at the baseline FinFET gate stack, and its 1 MV/cm coercive field (E$_{\mathrm{c}}$)
and 5 ${\mu}$C/cm$^{2}$ remnant polarization (P$_{\mathrm{r}}$) fit the parameter
ranges in HfO$_{2}$-based ferroelectric materials [20-21]. The relationship between the electric field and polarization in a ferroelectric
material is described using the following Landau-Khalatnikov (L-K) equation [22]:
where $\alpha =-3\sqrt{3}/4\times E_{\mathrm{c}}/P_{\mathrm{r}},$ $\beta =3\sqrt{3}/8\times
E_{\mathrm{c}}/{P_{\mathrm{r}}}^{3},$ $\gamma =5\times 10^{25}\mathrm{cm}^{9}/(\mathrm{FC}^{4})$
and ${\rho}$=2.25${\times}$10$^{4}$ ${\Omega}$.cm are the material-dependent parameters
of the ferroelectric.
In the simulation, we used the Poisson and continuity equations to solve self-consistently
with the L-K equation. The Shockley-Read-Hall and Auger models were used to account
for leakage currents that exist owing to a thermal generation. A high electric field
injection model can cause bandgap narrowing; thus, the old Slotboom model of bandgap
narrowing was also considered. For the strong inversion regime, Fermi-Dirac statistics
were employed to improve the simulation accuracy. In addition, because the device
dimensions are extremely small, some quantum modification terms (eQuantumPotential)
were added. The high-field saturation, doping-dependent mobility, and mobility degradation
at the interfaces were also used during the simulation.
Table 1. Device design parameters for trapezoidal NC-FinFET
Device parameter
|
value
|
Bottom fin width (W$_{\mathrm{Fin,Bot}}$)
|
6 nm
|
Top fin width (W$_{\mathrm{Fin,Top}}$)
|
2-6 nm
|
Fin height (H$_{\mathrm{Fin}}$)
|
42 nm
|
Gate length
|
16 nm
|
Source/drain length
|
16 nm
|
Source/Drain doping concentration
|
1${\times}$10$^{20}$ cm$^{-3}$
|
Channel doping concentration
|
1${\times}$10$^{17}$ cm$^{-3}$
|
Channel length (L)
|
16 nm
|
Oxide layer thickness
|
0.9 nm
|
Fig. 1. (a) Three-dimensional (3D) schematic view of NC-FinFET; (b) Cross-sectional views of NC-FinFET showing the variation in the W$_{\mathrm{Fin,Top}}$.
Fig. 2. Comparison of I$_{\mathrm{ds}}$-V$_{\mathrm{gs}}$ curve between the baseline FinFET and experimental data[19].
III. RESULTS AND ANALYSIS
The control of W$_{\mathrm{Fin,Top}}$ is critical to the SCEs, and a narrow fin width
reduces the leakage current. Therefore, a comprehensive comparison of the effects
of W$_{\mathrm{Fin,Top}}$ from 6 to 2 nm on the electrical behaviour of an NC-FinFET
was conducted, with the bottom fin width fixed at 6 nm.
Fig. 3 displays the transfer characteristic curves (I$_{\mathrm{ds}}$-V$_{\mathrm{gs}}$)
of the NC-FinFET and FinFET (T$_{\mathrm{FE}}$ = 0) with different W$_{\mathrm{Fin,Top}}$
values. As W$_{\mathrm{Fin,Top}}$ decreases, $I_{\mathrm{ON}}$ decreases slightly,
but $I_{\mathrm{OFF}}$ significantly decreases, implying that the improvement of $I_{\mathrm{OFF}}$
is at the expense of $I_{\mathrm{ON}}$. The main reason for this is that when W$_{\mathrm{Fin,Top}}$
decreases, the series resistance of the channel will increase as the effective fin
width (W$_{\mathrm{eff}}$) decreases [13]:
By comparing the I$_{\mathrm{ds}}$-V$_{\mathrm{gs}}$ curves shown in Fig. 3, the NC-FinFET demonstrates an improved $I_{\mathrm{ON}}$ and a reduced $I_{\mathrm{OFF}}$.
Thus, the NC-FinFET achieves a better switching current than the FinFET.
The I$_{\mathrm{ds}}$-V$_{\mathrm{gs}}$ characteristics of the NC-FinFET at different
T$_{\mathrm{FE}}$ values are presented in Fig. 4. As T$_{\mathrm{FE}}$ increased, $I_{\mathrm{OFF}}$ of the device decreased, and
$I_{\mathrm{ON}}$ increased. This is because when the gate voltage is below the flat-band
voltage (V$_{\mathrm{gs}}$ < V$_{\mathrm{fb}}$), the device operates in the depletion
region. The channel surface potential decreases with an increase in T$_{\mathrm{FE}}$,
indicating that the NC effect suppresses the surface potential. In addition, the movable
electron charge density in the channel |Q$_{\mathrm{m}}$| (Q$_{\mathrm{m}}$ < 0) decreases
with an increase in T$_{\mathrm{FE}}$; thus, I$_{\mathrm{ds}}$ decreases with an increase
in T$_{\mathrm{FE}}$. When the gate voltage exceeds the flat band voltage (V$_{\mathrm{gs}}$
> V$_{\mathrm{fb}}$), the device operates within the accumulation region. The channel
surface potential increases with an increase in T$_{\mathrm{FE}}$ and is amplified
by the NC effect [23]. In this case, |Q$_{\mathrm{m}}$| increases with an increase in T$_{\mathrm{FE}}$.
Specifically, I$_{\mathrm{ds}}$ increases as T$_{\mathrm{FE}}$ increases.
The introduction of the NC effect increases the total equivalent capacitance, resulting
in an improved gate control ability of the channel; thus, the NC-FinFET achieves a
lower $I_{\mathrm{OFF}}$ and higher $I_{\mathrm{ON}}$ simultaneously. According to
the capacitance matching, under the condition of maintaining |C$_{\mathrm{FE}}$| >
C$_{\mathrm{MOS}}$, as T$_{\mathrm{FE}}$ increases, the smaller the ferroelectric
capacitance (|C$_{\mathrm{FE}}$| is closer to C$_{\mathrm{MOS}}$), the better the
capacitance matching, and the larger the NC effect. However, as T$_{\mathrm{FE}}$increases,
the ferroelectric capacitance decreases to |C$_{\mathrm{FE}}$| < C$_{\mathrm{MOS}}$,
and the NC-FinFET exhibits hysteresis [22].
The variation in the threshold voltage (V$_{\mathrm{th}}$) with W$_{\mathrm{Fin,Top}}$
is shown in Fig. 5. It is apparent that V$_{\mathrm{th}}$ increases as W$_{\mathrm{Fin,Top}}$ decreases
because V$_{\mathrm{th}}$ is affected by the narrow fin width [24]. This is validated by the electron density distribution for different W$_{\mathrm{Fin,Top}}$
values, as shown in Fig. 6. The electron density distribution of the trapezoidal fin was more uniform than that
of the rectangular fin. Under the same W$_{\mathrm{Fin,Top}}$, the electron density
of the NC-FinFET is higher than that of its FinFET counterpart. As the electron density
increases across the fin, V$_{\mathrm{th}}$ increases [13]. Therefore, V$_{\mathrm{th}}$ of the NC-FinFET increases with a decrease in W$_{\mathrm{Fin,Top}}$.
Fig. 7 shows the potential energy and electrostatic potential distributions of the device
along the channel as W$_{\mathrm{Fin,Top}}$ varies. In the sub-threshold region (V$_{\mathrm{gs}}$
< V$_{\mathrm{th}}$), a narrow W$_{\mathrm{Fin,Top}}$ causes a decrease in the electrostatic
potential in the channel, resulting in an increase in the potential barrier allowing
electrons in the source region to spread into the channel. Therefore, V$_{\mathrm{th}}$
increases as W$_{\mathrm{Fin,Top}}$ becomes narrower. Fig. 8 shows the potential energy and electrostatic potential distributions along the channel
at different T$_{\mathrm{FE}}$ values. As T$_{\mathrm{FE}}$ increases, the electrostatic
potential of the device decreases, whereas the potential energy increases. Therefore,
V$_{\mathrm{th}}$ increases as T$_{\mathrm{FE}}$ increases.
Fig. 9 and 10 depict the $I_{\mathrm{OFF}}$ and $I_{\mathrm{ON}}$ results of the device as T$_{\mathrm{FE}}$
and W$_{\mathrm{Fin,Top}}$ change. At the same T$_{\mathrm{FE}}$ value, $I_{\mathrm{OFF}}$
and $I_{\mathrm{ON}}$ decrease as W$_{\mathrm{Fin,Top}}$ decreases. This is because
the reduced W$_{\mathrm{Fin,Top}}$ results in an increased parasitic resistance of
the S/D regions in series, causing $I_{\mathrm{ON}}$ and $I_{\mathrm{OFF}}$ to decrease
accordingly. This is validated by Fig. 11, which shows that the switch current ratio ($I_{\mathrm{ON}}$/$I_{\mathrm{OFF}}$)
increases as W$_{\mathrm{Fin,Top}}$ decreases, causing a higher switching rate. This
is because the trapezoidal fin has a stronger gate control ability over its middle
area, and thus the reduction in $I_{\mathrm{ON}}$ is smaller than that in $I_{\mathrm{OFF}}$.
As T$_{\mathrm{FE}}$ increases, $I_{\mathrm{OFF}}$ decreases and $I_{\mathrm{ON}}$
increases; hence, $I_{\mathrm{ON}}$/$I_{\mathrm{OFF}}$ increases accordingly. Moreover,
it can be seen from Fig. 11 that as W$_{\mathrm{Fi}}$$_{\mathrm{n,Top}}$ decreases, the growing trend of $I_{\mathrm{ON}}$/$I_{\mathrm{OFF}}$
in the FinFET is relatively gentle. Meanwhile, $I_{\mathrm{ON}}$/$I_{\mathrm{OFF}}$
in the NC-FinFET displays obvious divergence; first, a rapid growth occurs, followed
by a slow growth. This is because the NC effect exhibits different inhibition or enhancement
effects on the surface potential and charge density in the depletion or accumulations
[23]. The $I_{\mathrm{ON}}$/$I_{\mathrm{OFF}}$ achieved the peak value at W$_{\mathrm{Top,Fin}}$
= 4 nm and T$_{\mathrm{FE}}$ = 3 nm. This is because with a decrease in W$_{\mathrm{Fin,Top}}$,
the downward trend of $I_{\mathrm{OFF}}$ becomes stable at T$_{\mathrm{FE}}$ = 3 nm,
whereas $I_{\mathrm{ON}}$ decreases continuously owing to the influence of the parasitic
resistance. As a result, $I_{\mathrm{ON}}$/$I_{\mathrm{OFF}}$ first increases and
then decreases with a decrease in W$_{\mathrm{Fin,Top}}$.
As a significant aspect of the SCEs, within the subthreshold region, the barrier for
the electrons in the source to channel is reduced, leading to a reduction in the threshold
voltage [24]. Fig. 12 shows the DIBL variations with varying W$_{\mathrm{Fin,Top}}$. The value of DIBL
decreases as W$_{\mathrm{Fin,Top}}$ decreases. The negative DIBL phenomenon appears
in the NC-FinFET and becomes more obvious as T$_{\mathrm{FE}}$ increases [25,26]. As displayed in Fig. 13, the barrier height with W$_{\mathrm{Fin,Top}}$ = 2 nm was significantly higher than
that with W$_{\mathrm{Fin,Top}}$ = 6 nm. With a decrease in W$_{\mathrm{Fin,Top}}$,
the gap of the barrier height decreases between V$_{\mathrm{ds}}$ = 0.05 and 0.7 V.
Thus, reducing W$_{\mathrm{Fin,Top}}$ can enhance the gate controllability to the
channel and significantly improve the SCEs. As shown in Fig. 14, the barrier height increases with an increase in T$_{\mathrm{FE}}$ and V$_{\mathrm{ds}}$,
leading to a negative DIBL phenomenon in the NC-FinFET.
As shown in Fig. 15, the SS decreases with a decrease in W$_{\mathrm{Fin,Top}}$. At the same W$_{\mathrm{Fin,Top}}$,
the SS is further reduced to values of lower than 60 mV/dec with an increase in T$_{\mathrm{FE}}$,
breaking the Boltzmann thermodynamic limit.
Fig. 3. Transfer characteristics of NC-FinFET with di-fferent W$_{\mathrm{Fin,Top}}$.
Fig. 4. Transfer characteristic curves of NC-FinFETs with different T$_{\mathrm{FE}}$.
Fig. 5. Threshold voltage variations with W$_{\mathrm{Fin,Top}}$ and T$_{\mathrm{FE}}$.
Fig. 6. Electron density distribution in (a) rectangular FinFET; (b) trapezoidal (W$_{\mathrm{Fin,Top}}$=3 nm) FinFET; (c) trapezoidal (W$_{\mathrm{Fin,Top}}$=3 nm) NC-FinFET.
Fig. 7. (a) Potential energy; (b) electrostatic potential along the channel for different top fin widths (W$_{\mathrm{Fin,Top}}$).
Fig. 8. (a) Potential energy; (b) electrostatic potential along the channel for varying T$_{\mathrm{FE}}$.
Fig. 9. $I_{\mathrm{OFF}}$ of devices for different values of T$_{\mathrm{FE}}$ and W$_{\mathrm{Fin,Top}}$.
Fig. 10. $I_{\mathrm{ON}}$ of devices for varying T$_{\mathrm{FE}}$ and W$_{\mathrm{Fin,Top}}$.
Fig. 11. $I_{\mathrm{ON}}$/$I_{\mathrm{OFF}}$ of devices for different values of T$_{\mathrm{FE}}$ and W$_{\mathrm{Fin,Top}}$.
Fig. 12. DIBL variation for varying W$_{\mathrm{Fin,Top}}$ and T$_{\mathrm{FE}}$.
Fig. 13. Potential profile along the channel for FinFET with different W$_{\mathrm{Fin,Top}}$ values.
Fig. 14. Potential profile along the channel for NC-FinFET with different values of T$_{\mathrm{FE}}$.
Fig. 15. Variation in SS for different W$_{\mathrm{Fin,Top}}$ and T$_{\mathrm{FE}}$ values.
V. CONCLUSIONS
In this study, we investigated the effects of the trapezoidal fin shape on the electrical
characteristics of NC-FinFETs and compared the performance parameter variations for
different top fin widths. It was concluded that as the top fin width decreases, both
the on- and off-state currents decrease accordingly. However, the switch current ratio
has been improved, which is conducive to improving the fast turn-off rate of the device
and reducing the off-state power consumption. Changes in the top fin width affect
the channel potential and potential energy. As the top fin width decreases, the threshold
voltage increases. Simultaneously, the DIBL and SS are reduced by 60.9% and 7.2%,
respectively, which effectively improves the SCE of the device. These findings can
help better predict and evaluate variations in the device performance owing to the
trapezoidal fin shape for NC-FinFETs at the early stage of an integrated circuit design
and manufacturing.
ACKNOWLEDGMENTS
This work is supported by Zhejiang Provincial Natural Science Foundation of China
(Grant No. LY22F040001), and National Natural Science Foundation of China (Grant No.
62071160).
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Mengjie Zhao receiveMengjie Zhao received the B.S. degree in electronics and information
engineering from Hefei University in 2020. He is currently working toward the M.S.
degree in integrated devices and circuits at Hangzhou Dianzi University.d the B.S.
degree in electronics and information engineering from Hefei University in 2020. He
is currently working toward the M.S. degree in integrated devices and circuits at
Hangzhou Dianzi University.
Weifeng Lü received the B.S. degree in information engineering in 2001, and M.S. and
Ph. D. degrees in electronic science and technology from Zhejiang University, in 2004
and 2011, respectively. He joined the School of Electronics and Infor-mation, Hangzhou
Dianzi University, Hangzhou, China in 2004 as a Lecture from 2005 to 2014 and as an
associate Prof. from 2016. He was a visiting scholar at The University of Texas at
Austin. Austin, TX, USA. His research interests mainly include design for manufacturing,
statistical modeling of process variations, and nanometer CMOS devices.
Mengxue Guo received the B.S. de-gree in electronics and information engineering
from Qufu Normal Uni-versityin 2020. She is currently working toward the M.S. degree
in integrated circuit at Hangzhou Dianzi University.
Ziqiang Xie received the B.S. degree in electronics and information engineering
from Hangzhou Dianzi University in 2020. He is currently working toward the M.S. degree
in Electronic and Communication Engineering at Hangzhou Dianzi University.
Mi Lin received the Bachelor’s degree in Electronic Engineering from Zhejiang University,
Hangzhou, in 2001, and M.S and the Ph.D degrees in circuit and system from Zhejiang
University, Hangzhou, Zhejiang, China, in 2010. She joined the School of Electronics
and Information, Hangzhou Dianzi University, Hangzhou, Zhejiang Province, China in
2004 as a Lecture from 2005 to 2014 and as an associate Prof. from 2015. Her current
research interests in resonant tunneling devices, NDR circuits and related digital
circuits and multiple-valued logic technologies.