LeeSeungjun1
KimGaram*
-
(Division of Electrical and Electronic Engineering, Myongji University, Yongin 17058,
Korea)
Copyright © The Institute of Electronics and Information Engineers(IEIE)
Index Terms
CMOS image sensor, source follower, tunnel field-effect transistor, optimized TFET, enhanced gain, , TCAD modeling and simulation
I. INTRODUCTION
In recent years, CMOS image sensors (CIS) have attracted significant attention as
a key technology for advanced imaging systems, enabling high-resolution image capture
with low power consumption and excellent noise performance. CIS are widely used in
diverse applications, including consumer electronics, automotive systems, industrial
inspection, and scientific imaging, where high-speed readout and reliable analog signal
processing are essential. To meet the growing demand for compact, high-performance
imaging solutions, CIS technology continues to advance, offering improved speed, reduced
power consumption, and enhanced signal-to-noise ratio. Fig. 1(a) shows the circuit schematic of CIS pixel and Fig. 1(b) shows its timing diagram when the correlated double sampling (CDS) is applied. The
reset gate (RG) is turned on to remove the carriers from the floating diffusion (FD),
which is connected to the gate of the source follower (SF). The selector transistor
(SEL) is then turned on to read out the reset level through the column bus. Next,
the transfer gate (TG) is activated to transfer the signal charge stored in the photodiode
(PD) to the FD node. In this operation of CIS, the SF plays a crucial role as a readout
buffer transistor. It converts the charge-to-voltage signal from the photodiode and
delivers it to the column readout line, driving the next stage without significant
signal degradation. Therefore, the voltage gain (A${}_{\rm v}$) of the SF directly
affects signal integrity, especially in low-light imaging conditions. Improving the
SF's gain not only enhances image quality but also helps maintain high dynamic range
in miniaturized pixels. Additionally, the SF provides high input impedance, reducing
the impact on subsequent stages and improving overall circuit stability. However,
the push for higher resolution and cost reduction has led to a reduction in pixel
size, posing challenges in maintaining the gain values of SF. To address these challenges,
extensive research has been conducted to preserve SF gain [1-5]. Recently, studies have also explored the use of tunnel field-effect transistor (TFET)
as alternatives to n-type metal-oxide-semiconductor field-effect transistors (NMOS)
[6,7]. The A${}_{\rm v}$ is determined by the transconductance (g${}_{\rm m}$), body transconductance
(g${}_{\rm mb}$), and output conductance (g${}_{\rm ds}$) as follows.
In an NMOS transistor, g${}_{\rm ds}$ is influenced by channel length modulation and
drain-induced barrier lowering (DIBL) due to the drain voltage. In contrast, in a
TFET, the drain current is governed by band-to-band tunneling (BTBT) between the source
and the adjacent channel region. As a result, the effect of the drain voltage, such
as drain-induced barrier thinning (DIBT), on g${}_{\rm ds}$ is significantly smaller
than in an NMOS transistor, enabling a higher A${}_{\rm v}$. Although the TFET inherently
has the disadvantage of one-way directional current flow due to its device structure
and operating principle, this does not cause any issue in CIS pixel operation. This
is because, in a pixel source follower, the drain is connected to supply voltage (V${}_{DD}$)
and the source is connected to ground through a selector transistor, ensuring that
the current always flows from drain to source during signal readout. With appropriate
biasing, the tunneling condition can be reliably maintained, and therefore, the TFET-based
source follower can achieve higher gain through its low g${}_{\rm ds}$ while maintaining
the operational reliability of the CIS pixel.
However, as illustrated in Fig. 2 obtained by technology computer-aided design (TCAD) simulation, the scaling of gate
length to 20 nm in TFETs has resulted in a significant decrease in gain values. To
overcome this limitation, optimizations have been performed by adjusting critical
parameters of TFETs. This paper investigates the role of the SF in CIS and discusses
structural optimizations of TFETs to enhance SF characteristics. The focus is on key
factors such as reducing silicon-on-insulator (SOI) thickness, introducing drain underlap,
and modifying drain material properties.
Fig. 1. (a) Circuit schematic and (b) timing diagram of a CIS pixel.
Fig. 2. Gain (A$_{\rm v}$) comparison between MOSFET and TFET for gate lengths ranging
from 200 nm to 20 nm.
II. TUNNELING MODEL CALIBRATION
This study was conducted using the Synopsys Sentaurus TCAD simulation tool to analyze
and optimize device characteristics. In this study, a quantum-mechanical approach
was adopted in this research to evaluate carrier confinement effects near the semiconductor-insulator
interface. Furthermore, mobility variations due to doping levels and carrier lifetime
governed by the Shockley--Read--Hall recombination were considered. The Band-to-Band
Tunneling (BTBT) model was calibrated using the Sentaurus TCAD tool, and for this
purpose, planar Si and SiGe TFETs were fabricated, as illustrated in Figs. 3(a) and 3(b). For the Si TFET, both SOI source implantation and drain implantation with arsenic
were performed under identical process conditions. Meanwhile, the SiGe TFET was fabricated
on an SOI (100) substrate, incorporating a 40 nm-thick Si$_{0.7}$Ge$_{0.3}$layer on
a 60 nm-thick, lightly p-doped ($1 \times 10^{15}$ cm$^{-3}$) SOI region. To complete
the device structure, a Si capping layer was deposited over the SiGe channel, followed
by the formation of a 200 nm-thick poly-Si gate and a 3 nm-thick SiO$_2$ dielectric
layer. The electrical characteristics of the fabricated Si and SiGe TFETs were evaluated
by measuring their transfer curves at a drain voltage (V${}_{DS}$) of 1.0 V, with
both devices having a gate length and width of 400 nm. The Kane BTBT model was employed
to simulate the experimental results, and its parameters were calibrated accordingly
(2).
Fig. 3. Cross-sectional views of (a) Si TFET and (b) SiGe TFET for calibration.
In this model, the BTBT generation rate ($G$) per unit volume was defined under the
uniform electric field assumption, where $F_0 = 1$ V/m, and $P = 2.5$ was applied
for indirect BTBT. The pre-factor ($A$) and exponential factor ($B$) were extracted
as Kane parameters, with $F$ representing the electric field in the system. To achieve
a high degree of accuracy between experimental measurements and simulation results,
multiple iterative simulations were performed to fine-tune the $A$ and $B$ parameters.
The optimized values were selected to ensure the best fit, as depicted in Fig. 4. The log-scale transfer characteristics confirmed a strong correlation between the
simulated and measured data. From this calibration, the Si TFET's BTBT model yielded
$A = 4 \times 10^{14}$ cm$^{-1}\cdot$s$^{-1}$ and $B = 9.9 \times 10^6$ V/cm. Meanwhile,
for the SiGe TFET, the extracted Ge-related parameters were $A = 3.1 \times 10^{16}$
cm$^{-1}\cdot$s$^{-1}$ and $B = 7.1 \times 10^5$ V/cm.
Fig. 4. Calibrated transfer curves of Si and SiGe TFET.
III. Device Structure and A${}_{\mathbf v}$ Extraction
The basic structural parameters of the TFET used in this study are as follows. Unless
otherwise specified, these parameters were employed throughout the simulations. The
source, body, and drain regions were formed using SiGe with a thickness of 15 nm on
top of a 50 nm-thick buried oxide (BOX) layer. The gate oxide thickness is 1 nm, and
the gate length is 20 nm. The source doping concentration is p-type $10^{20}$ cm${}^{-3}$,
the body doping is p-type $10^{15}$ cm${}^{-3}$, and the drain doping is n-type $10^{20}$
cm${}^{-3}$.
As mentioned in the Section I, the primary role of the SF in a CIS is to transfer
the signal generated by incident light with minimal loss. Therefore, in this study,
the A${}_{\rm v}$ is extracted to evaluate the performance of the SF. In the SF, A${}_{\rm
v}$ is defined as the change in the output source voltage with respect to a change
in the input gate voltage. Accordingly, A${}_{\rm v}$ is extracted by sweeping the
gate voltage while fixing the drain current at constant value and observing the corresponding
variation in the source voltage.
IV. GEMANIUM RATIO IN SIGE
Research on TFETs has been continuously conducted [8-15], with most studies focusing on improving the insufficient on-current. To achieve
this, the TFET is fabricated using SiGe material [16-18], where the proportion of Ge plays a significant role in determining the on-current
performance. As illustrated in Fig. 5, the on-current exhibits a noticeable dependency on the Ge composition. In the case
of a transistor used as the source follower (SF) in a CIS, a high on-current is not
required as in typical switching applications; however, it is still necessary to secure
an adequate on-current level depending on the application. In this study, the target
operating current is set to 10 ?A/?m. Based on the observation shown in Fig. 5, a Ge proportion of 50% is selected as the optimized parameter in this study to ensure
sufficient on-current for proper SF operation while maintaining acceptable gain characteristics.
Fig. 5. Relationship between Ge ratio in SiGe, drain current, and gain (A$_{\rm v}$)
for TFET. The plot shows that at a Ge ratio of approximately 50%, the drain current
meets the required operational range, while maintaining an adequate gain value for
optimized performance.
V. SOI THICKNESS
To further increase the gain of the TFET, this study explores the impact of optimizing
the SOI thickness. The SOI thickness refers to the thickness of the silicon layer
above the BOX layer, as illustrated in Fig. 6. This layer is situated beneath the gate, and its thickness plays a critical role
in determining the electrical performance of the device [19]. As depicted in Fig. 7, reducing the SOI thickness improves the gain of the TFET. Due to the extremely short
channel length of 20 nm, it can be observed that even with an SOI thickness of 15
nm, the influence of the drain voltage on the tunneling junction between the source
and the channel cannot be sufficiently suppressed, and the highest gain is achieved
when the SOI thickness is reduced to 3 nm. Based on this result, an SOI thickness
of 3 nm was selected as the optimized parameter in this study. Reducing the SOI thickness
resulted in an approximately 21.6% increase in gain. This improvement can be attributed
to enhanced electrostatic gate control over the channel region as the SOI layer becomes
thinner. The reduced SOI thickness minimizes the short-channel effects and enhances
the coupling between the gate and the channel, resulting in improved transistor operation
and higher gain. These findings highlight the importance of precisely controlling
the SOI thickness during device fabrication to achieve optimal gain performance in
TFET.
Fig. 6. Cross-sectional schematic of the TFET structure showing the SOI thickness,
which refers to the thickness of the silicon layer above the BOX layer.
Fig. 7. Dependence of gain (A$_{\rm v}$) on SOI thickness. The gain increases as the
SOI thickness decreases, reaching its maximum at 3 nm, due to improved electrostatic
gate control and reduced short-channel effects.
VI. DRAIN UNDERLAP
To further improve the gain of the TFET source follower, the drain underlap technique
is employed. Drain underlap refers to the deliberate introduction of a gap between
the gate and the drain contact, as illustrated in Fig. 8. In this section, drain underlap length of 10 nm was applied to enhance gain performance
by suppressing leakage current and improving electrostatic control. This structural
modification is particularly effective in minimizing parasitic effects and short-channel
effects (SCE), which can degrade analog performance in scaled devices. The primary
reason for implementing drain underlap lies in its ability to suppress leakage current
and mitigate SCE, which enhances the overall transistor operation. In practice, the
method of introducing an underlap between the gate and drain has been employed to
enhance the characteristics of TFET [20-22]. By reducing the electric field at the drain side, drain underlap minimizes the BTBT
generation rate in the off state, as demonstrated in Fig. 9. This suppression of BTBT leakage current ensures better transistor performance and
stability. Furthermore, Fig. 10 presents the energy band diagram under the drain underlap condition, confirming that
the DITL effect is reduced, which strengthens the gate's ability to control the channel.
Fig. 11 illustrates the gain (A${}_{\rm v}$) characteristics as a function of gate voltage,
comparing the baseline TFET with the 10 nm underlap structure. The application of
drain underlap resulted in an approximately 22% increase in gain. Moreover, by significantly
reducing leakage current, the gain remains stable across the entire gate voltage range,
which is critical for consistent analog signal processing in source follower operation.
In summary, the implementation of a 10 nm drain underlap effectively suppresses leakage
currents and mitigates SCEs, leading not only to improved gain but also to enhanced
stability in TFET source follower performance.
Fig. 8. Cross-sectional view of the TFET structure showing the drain underlap region.
The underlap, defined by the gap between the gate and the drain, is designed to suppress
leakage current and mitigate short-channel effects.
Fig. 9. Comparison of band-to-band generation between the basic TFET and TFET with
drain underlap.
Fig. 10. Comparison of energy band diagrams between a conventional TFET and a TFET
with drain underlap. The introduction of the drain underlap modifies the energy band
profile, reducing the DIBT effect.
Fig. 11. Gain (A$_{\rm v}$) comparison between the basic TFET and TFET with drain
underlap as a function of gate voltage.
VII. DRAIN MATERIAL
To further enhance the gain of the TFET source follower, this study investigates the
impact of replacing the material near the drain and the adjacent channel region from
SiGe to Si. Fig. 12 illustrates the modified device structure, where the material substitution is applied
specifically to optimize device performance. In this study, both the drain region
and the 5 nm portion of the channel adjacent to the drain were changed from SiGe to
Si. The primary reason for implementing this material change is to reduce the leakage
current in the off state and to improve the gate control over the channel. Si has
a wider bandgap compared to SiGe, which suppresses the BTBT generation rate in the
off state. As shown in Fig. 13, the BTBT leakage current is significantly reduced when the region near the drain
is composed of Si instead of SiGe. This reduction minimizes unwanted carrier generation
in the off state, leading to improved device stability and reduced noise interference.
Moreover, Fig. 14 presents the energy band diagram under the modified material condition. By replacing
SiGe with Si, the DIBT effect is mitigated, as the wider bandgap of Si increases the
energy barrier between the drain and the channel. This improved barrier control enhances
the gate's ability to regulate the channel, resulting in a stronger coupling between
the gate and the channel. The combination of reduced BTBT leakage and mitigated DIBT
directly contributes to an increase in the gain of the TFET source follower. Fig. 15 confirms this result, showing a noticeable gain enhancement when the region near
the drain and adjacent channel is switched to Si. In conclusion, substituting SiGe
with Si in the drain and adjacent channel region effectively suppresses leakage current,
mitigates short-channel effects, and enhances gate control, all of which collectively
improve the gain of the TFET source follower.
Fig. 12. Cross-sectional view of the TFET structure with modified drain and channel
regions. The drain region and the area adjacent to both the gate and drain are converted
to Si instead of SiGe.
Fig. 13. Comparison of band-to-band generation between the basic TFET and TFET with
a Si drain and adjacent channel material.
Fig. 14. Energy band diagram comparison between the basic TFET and TFET with a Si
drain.
Fig. 15. Comparison of gain (A$_{\rm v}$) between the basic TFET and TFET with a Si
drain. The graph shows that the TFET with a Si drain achieves higher gain, indicating
improved performance due to the material substitution.
VIII. OPTIMIZED STRUCTURE ANALYSIS
To enhance the performance of the SF, multiple structural optimizations were applied
simultaneously. These optimizations included applying SiGe material and optimizing
the Ge ratio, optimizing the SOI thickness, implementing a drain underlap, and replacing
the drain material with Si. Specifically, an SOI thickness of 3 nm was used, the drain
underlap length was set to 10 nm, and the drain region and both the drain region and
the 5 nm portion of the channel adjacent to the drain were changed from SiGe to Si.
By integrating these modifications, the optimized TFET exhibited a significantly improved
gain compared to both the conventional TFET and MOSFET. As shown in Fig. 16, the optimized TFET achieves a higher voltage gain across all gate lengths.
Quantitatively, the voltage gain of the optimized TFET at a 20 nm gate length is 0.936,
compared to 0.757 for the basic TFET and 0.440 for the MOSFET. This represents an
improvement of approximately 26.9% over the basic TFET and 53.1% over the MOSFET.
This indicates that the structural modifications effectively mitigate short-channel
effects while enhancing device performance. These results demonstrate that the proposed
optimization strategies contribute to achieving a more efficient SF design, making
the optimized TFET a promising candidate for advanced low-power analog applications.
Fig. 16. Gain (A$_{\rm v}$) comparison between MOSFET, TFET, and optimized TFET for
gate lengths ranging from 200 nm to 20 nm.
IX. CONCLUSION
This study investigated the optimization of TFET structures to enhance the gain of
the SF in CIS. With the increasing demand for high-resolution and efficient CIS, structural
innovations were proposed to address the limitations of conventional MOSFETs and to
overcome challenges posed by device scaling. The adoption of TFETs provided significant
advantages, including reduced power consumption, lower noise, and enhanced performance.
Key optimizations included tailoring the Ge composition in SiGe-based TFETs to achieve
a balanced on-current and gain, with 50% Ge identified as the optimal ratio. Additionally,
reducing the SOI thickness to 3 nm improved gate control, minimized short-channel
effects, and enhanced device performance. The implementation of drain underlap further
improved gain by suppressing BTBT leakage current and mitigating DIBT, thereby enhancing
gate-channel coupling. Lastly, replacing the drain and adjacent channel material from
SiGe to Si successfully reduced leakage current, improved energy barrier control,
and resulted in a noticeable gain increase. These results indicate that these structural
modifications can collectively enhance the gain of TFET SFs, demonstrating their potential
to overcome the limitations of conventional scaling in CIS. These findings provide
valuable insights for the development of high-resolution, low-noise CIS pixel structure
with TFET SFs.
ACKNOWLEDGMENTS
This work was supported in part by the National Research Foundation of Korea (NRF)
grant funded by the Korea government (MSIT) (RS-2025-16903034) and in part by the
``Gyeonggi Regional Innovation System & Education Project (Gyeonggi RISE Project)''
funded by the Ministry of Education and Gyeonggi Province. The EDA tool was supported
by the IC Design Education Center (IDEC), Korea.
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Seungjun Lee is pursing a B.S. degree from the Division of Electrical and Electronic
Engineering, Myongji University, Yongin, Republic of Korea. His current research interests
include tunnel FETs, capacitor-less 1T DRAMs, and neuromorphic devices.
Garam Kim received his B. S. and Ph.D. degrees in electrical engineering from Seoul
National University, Seoul, Korea, in 2008 and 2014, respectively. He worked as a
senior engineer at Samsung Electronics from 2014 to 2019. In 2019, he joined the Division
of Electrical and Electronic Engineering at Myongji University, Yongin, Republic of
Korea, where he is currently an associate professor. His current research interests
include capacitor-less 1T DRAMs, GaN-based LEDs, GaN HEMT, tunnel FETs, neuromorphic
devices, and CMOS image sensors.