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  1. (Department of Electronic Engineering, Myongji University, Yongin 17058, Korea)
  2. (Department of Electronic Engineering, Sogang University, 35 Baekbeom-ro, Mapo-gu, Seoul 04107, Korea)
  3. (Department of Electronic Engineering, Ewha Womans University, 52 Ewhayeodae-gil, Seodaemun-gu, Seoul, 03760, Korea)
  4. (Department of Electrical and Electronics Engineering, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, Korea)
  5. (Department of Electronic Engineering, Ajou University, Suwon 16499, Korea)



Dual workfunction, line tunneling field-effect transistor (LTFET), junction underlap, TCAD device simulation, low-power operation

I. INTRODUCTION

Tunneling field-effect transistor (TFET) has been widely studied to overcome the physical limitation in which subthreshold swing (S) of metal-oxide-semiconductor field-effect transistor (MOSFET) is not permitted to be below 60 mV/dec at room temperature [1-3]. However, its rather low on-state current (I$_{\mathrm{ON}}$) driven by band-to-band tunneling (BTBT) has been pointed out as a weak point. In order to enhance the current drivability of TFET, line tunneling field-effect transistor (LTFET) was proposed in the previous literature [4]. Also, it was reported that adopting gate with different workfunctions, dual-workfunction (DWF) gates, improved the current characteristics [5-9]. When DWG is applied to LTFET, the electrical characteristics vary greatly depending on important parameters such as the structure of the source region or the length of two gates, but there has been no detailed analysis on the optimization of this structure. Therefore, in this paper, optimal design of a DWF LTFET has been performed, and as the results, improvements of on-off current ratio (I$_{\mathrm{ON}}$/I$_{\mathrm{OFF}}$) and S have been achieved. The key solution lies in the engineering over the source-drain underlap in the DWF LTFET structure, which has been confirmed by series of numerical technology computer-aided design (TCAD) device simulations.

II. TUNNELING MODEL CALIBRATION

In order to calibrate the BTBT model using Sentaurus tools [10], the planar Si and SiGe TFETs are fabricated as shown in Fig. 1(a) and (b). In the case of Si TFET, SOI source implantation and drain implantation with As is used at the same conditions. For comparison, SiGe TFET consists of 40 nm thickness Si$_{\mathrm{0.7}}$Ge$_{\mathrm{0.3}}$ layers on SOI (100) substrates which are lightly p-doped (1 ${\times}$ 10$^{15}$ cm$^{-3}$) with 60 nm thickness and Si capping layer is grown on the SiGe channel and 200 nm thickness poly-Si gate and 3 nm SiO$_{2}$. The transfer characteristic of the fabricated Si and SiGe TFETs which have both 400 nm gate length and width are measured at the drain voltage (V$_{\mathrm{DS}}$) of 1.0 V.

Kane’s BTBT model is calibrated to the measured result of the fabricated Si and SiGe TFETs. The BTBT generation rates (G) per unit volume in this model are defined as

$\begin{equation*} G=A\left(\frac{F}{F_{0}}\right)^{p}\exp \left(-\frac{B}{F}\right) \end{equation*}$

in the uniform electric field limit where F$_{0}$ = 1 V/m and P = 2.5 for indirect BTBT [10]. A of the pre-factor and B of the exponential factor are the Kane parameters while F is the electric field [11,12]. As mentioned above, several simulations are performed to fit the measured data by adjusting the A and B parameters. The A and B values are chosen as for optimal fit according to the results between the simulated and measured data Fig. 2. It can be seen that the log scale of transfer characteristics is well fitted from the results. The extracted A and B parameters of the BTBT model in Si TFET are 4 ${\times}$ 10$^{14}$ cm$^{-1}$·s$^{-1}$ and 9.9 ${\times}$ 10$^{6}$ V/cm, respectively. As SiGe TFET’s transfer characteristics, the A and B parameters of Ge can be extracted as 3.1 ${\times}$ 10$^{16}$ cm$^{-1}$·s$^{-1}$and 7.1 ${\times}$ 10$^{5}$ V/cm, respectively.

Fig. 1. Cross-sectional views of the (a) Si TFET; (b) SiGe TFET.
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Fig. 2. Calibrated transfer curves of SiGe and Si TFET.
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III. BASIC DEVICE STRUCTURE

Fig. 3 shows the basic device structure. The extruded source structure reduces the energy band bending of the pn junction where point tunnelling occurs, reducing the hump behavior. And the high WF gate-drain underlap reduces ambipolar current (I$_{\mathrm{AMB}}$) [4]. As drain is far from gate, the electric field applied to drain junction becomes weak. In this research, high WF is set to 5.10 eV and low WF is 4.06 eV, respectively.

Fig. 3. Basic structure of the device.
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IV. SIMULATION AND RESULTS

To confirm the improved S and I$_{\mathrm{ON}}$/I$_{\mathrm{OFF}}$, numerical simulations are conducted by Sentaurus tools. Fig. 4(a) shows the drain current-gate voltage (I$_{\mathrm{D}}$-V$_{\mathrm{G}}$) characteristics of different WF and dual WF structures. Fig. 4(b) shows the BTBT generation rate at 0.7 V in this case. Single-high WF gate weakens the electric field applied to source, so less BTBT generation occurs and the total I$_{\mathrm{ON}}$ is decreased. And although point tunneling is reduced, line tunneling is also reduced, so it is difficult to expect better S. Single-low WF gate increases the electric field applied to source junction, so a lot of BTBT generation occurs and the total I$_{\mathrm{ON}}$ is increased. However, because of the low WF, point tunneling occurs even at 0~V, which increases the off-current (I$_{\mathrm{OFF}}$), and S gets worse. In case of dual gate with low WF and high WF, point tunneling at off-state is suppressed due to high WF gate and line tunneling at on-state is activated due to low WF gate, which improves S. The dual work function structure shows good electrical characteristics, but if point tunneling can be used in I$_{\mathrm{ON}}$ while suppressing I$_{\mathrm{OFF}}$, these characteristics can be improved further.

Fig. 5(a) shows the I$_{\mathrm{D}}$-V$_{\mathrm{G}}$ characteristic according to the distance between high WF gate and drain. Fig. 5(b) shows the BTBT generation rate at -0.5 V in this case. As the drain underlap length increased from 0 nm to 10 nm, the hole tunneling is efficiently decreased and I$_{\mathrm{AMB}}$ is also reduced.

Fig. 6(a) shows the I$_{\mathrm{D}}$-V$_{\mathrm{G}}$ characteristic according to the distance between high WF gate and source. Fig. 6(b) shows the BTBT generation rate at 0.7 V in this case. It is confirmed that I$_{\mathrm{OFF}}$ decreased as source underlap length increased from 0 nm to 10 nm. It shows that I$_{\mathrm{ON}}$/I$_{\mathrm{OFF}}$ is improved when the high WF gate underlap length is 3 nm to 5 nm compared to 0 nm to 2 nm. However, if the high WF gate underlap length is more than 6 nm, there is a possibility that I$_{\mathrm{OFF}}$ increases rapidly because of the process variation. Therefore, a gate underlap length between 3 nm to 5 nm is suitable. As a result, it is confirmed that I$_{\mathrm{ON}}$ can be increased by using point tunneling while suppressing I$_{\mathrm{OFF}}$.

Fig. 7(a) shows the I$_{\mathrm{D}}$-V$_{\mathrm{G}}$ characteristic according to vertical tunneling length and Fig. 7(b) shows the BTBT generation rate at 0.7 V in this case. When the vertical tunneling length is 0 nm to 1 nm, line tunneling do not occur at V$_{\mathrm{GS}}$ = 0.7 V. This is because there is not enough space for line tunneling to occur. When the vertical tunneling length becomes 2\textasciitilde{}3 nm, line tunneling occurs as the gate voltage increases, and as a result, high I$_{\mathrm{ON}}$ can be obtained. However, when the vertical tunneling length is increased to 4 nm, the drain current at high voltage is rather decreased. This is because the width of the tunneling barrier increases as the depletion region increases.

Fig. 8(a) shows the I$_{\mathrm{D}}$-V$_{\mathrm{G}}$ characteristic according to body thickness and Fig. 8(b) shows the BTBT generation rate at 0.7 V in this case. It is purpose to minimize the device size without causing performance degradation. First, in the case of I$_{\mathrm{ON}}$, even if the body thickness is reduced from 22 nm to 10 nm, there is no significant difference. On the other hand, it shows that I$_{\mathrm{AMB}}$ increases as body thickness decreases from 22 nm to 10~nm. However, this problem can be improved through drain underlap length. Through additional simulations, when the drain underlap length is 10 nm, it is confirmed that there is no increase in I$_{\mathrm{AMB}}$ even when the body thickness is reduced to 14 nm. As a result, the total body thickness is reduced from 20 nm to 14 nm.

Fig. 4. (a) Electrical characteristic of dual WF and different WF structures; (b) BTBT generation rate of dual WF and different WF structures at V$_{\mathrm{GS}}$ = 0.7 V.
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Fig. 5. (a) Electrical characteristics by changing the distance between high WF gate and drain; (b) BTBT generation rate of high WF gate-drain underlap structures at V$_{\mathrm{GS}}$ = -0.5 V.
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Fig. 6. (a) Electrical characteristics by changing the distance between high WF gate and source; (b) BTBT generation rate of low WF gate-source underlap structures at V$_{\mathrm{GS}}$ = 0.7 V.
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Fig. 7. (a) Electrical characteristics by changing vertical tunneling length; (b) BTBT generation rate at V$_{\mathrm{GS}}$ = 0.7 V.
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Fig. 8. (a) Electrical characteristics by changing body thickness; (b) BTBT generation rate at V$_{\mathrm{GS}}$ = 0.7 V.
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V. VIABLE PROCESS INTEGRATION

Fig. 9(a)-(d) show the process of LTFET fabrication. Fig. 9(a) shows that the drain, body and source regions are sequentially grown through the epitaxy process [13,14]. Fig. 9(b) shows active patterning and device isolation process [15]. Fig. 9(c) shows that the vertical tunneling region is formed through Si-epitaxy. Finally, the proposed device fabrication is completed with gate oxide growth and gate patterning process as shown in Fig. 9(d).

Fig. 9. Fabrication process flow of the proposed device.
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VI. CONCLUSIONS

Table 1 shows the optimized device parameters used for numerical simulation. Fig. 11 shows the I$_{\mathrm{D}}$-V$_{\mathrm{G}}$ characteristic of control device and optimized device (Fig. 10). A source and drain underlap on DWF LTFET is optimized. And a control device is the structure without high WF gate-drain underlap and low WF gate-source underlap in Fig. 3. By numerical simulations, it was confirmed that the source and drain underlap structure can improve the electrical performance at low voltage [16-21]. In particular, the distance between high WF gate and source is suitable to be 3 to 5 nm considering better I$_{\mathrm{ON}}$/I$_{\mathrm{OFF}}$ and the process variation.

Fig. 10. Optimized structure of the device.
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Fig. 11. Electrical characteristic of control device and optimized device.
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Table 1. Parameters of the optimized device used for numerical simulation

Parameters

Definitions

Value

NS

Source doping concentration (Boron)

1020 cm-3

NCH

Channel doping concentration (Arsenic)

1017 cm-3

ND

Drain doping concentration (Arsenic)

1020 cm-3

LSU

Source underlap length

3 nm

LDU

Drain underlap length

10 nm

TB

Body thickness

14 nm

TOX

Gate oxide thickness

1 nm

LCH

Channel length

30 nm

LTUN

Vertical tunneling length

20 nm

TTUN

Vertical tunneling thickness

2 nm

VDS

Drain voltage

0.8 V

WF1

High work function (Gate 1)

5.10 eV

WF2

Low work function (Gate 2)

4.06 eV

ACKNOWLEDGMENTS

This research was supported by the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (MSIT) of Korea under Grants NRF-2020R1G1A1007430, NRF-2022R1A2C2092727 and NRF-2022M3I7A1078936. The EDA tool was supported by the IC Design Education Center (IDEC).

References

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Chaewon Yun
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Chaewon Yun received the B. S. degree in the Department of Elec-tronic Engineering from Myongji University, Yongin, Korea, in 2023. She is currently pursing the M. S. degree at the same university. Her current research interests include Tunnel FETs, GaN-based LEDs, and GaN HEMT.

Sangwan Kim
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Sangwan Kim received the B.S., M.S., and the Ph.D. degrees in Electrical Engineering from Seoul National University, Seoul, Republic of 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. He had been with the Department of Electrical and Computer Engineering, Ajou University, Suwon, Republic of Korea, as Assistant/Associate Professor from 2017 to 2022. Since 2022, he has been a Faculty Member with Sogang University, Seoul, Republic of Korea, where he is currently an Associate Professor with the Department of Electronic Engineering. His current research interest includes, ultra-low power logic devices, future memory devices, synaptic devices and their applications.

Seongjae Cho
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Seongjae Cho received the B.S. and the Ph.D. degrees in electrical engineering from Seoul National University, Seoul, Korea, in 2004 and 2010, respectively. He worked as an Exchange Researcher at the National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan, in 2009. He worked as a Postdoctoral Researcher at Seoul National University in 2010 and at Stanford University, Palo Alto, CA, from 2010 to 2013. Also, he worked as a faculty member at the Department of Electronic Engineering, Gachon University, from 2013 to 2023. He is currently working as an Associate Professor at the Department of Electronic and Electrical Engineering, Ewha Womans University, Seoul, Korea, from 2023. His current research interests include emerging memory technologies, advanced nanoscale CMOS devices and process integration, group-IV photonic devices, low-power synaptic devices and neuron circuits for neuromorphic and memory-centric processor technologies. He is a Lifetime Member of IEIE and a Senior Member of IEEE. He was the recipient of the Minister’s Award from the Ministry of Science and ICT of Korea (MSIT) in 2021.

Il Hwan Cho
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Il Hwan Cho received the B.S. in Electrical Engineering from Korea Advanced Institute of Science and Technology (KAIST), Daejon, Korea, in 2000 and M.S., and Ph.D. degrees in electrical engineering from Seoul National University, Seoul, Korea, in 2002, 2007, respectively. From March 2007 to February 2008, he was a Postdoctoral Fellow at Seoul National University, Seoul, Korea. In 2008, he joined the Department of Electronic Engineering at Myongji University, Yongin, where he is currently a Professor. His current research interests include improvement, characterization and measurement of non-volatile memory devices and nano scale transistors including tunneling field effect transistor.

Hyunwoo Kim
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Hyunwoo Kim received the B.S. degree from the Kyungpook National University (KNU), Daegu, South Korea, in 2008, and the M.S. and Ph.D. degrees in Electrical Engineering from Seoul National University (SNU), Seoul, in 2010 and 2015, respectively. He had worked at Samsung Electronics as a senior researcher from 2015 to 2021, Hwaseong, Korea. Since 2023, he has been a Faculty Member with Konkuk University (KU), Seoul, Korea, where he is currently an Assistant Professor with the Department of Electrical and Electronics Engineering. His current interests for research include Foundry Logic CMOS Devices, Ferroelectric Devices, and Low Power Applications.

Jang Hyun Kim
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Jang Hyun Kim completed his Bachelor's degree in Electrical and Electronic Engineering at KAIST (Korea Advanced Institute of Science and Technology) from March 2005 to August 2009. He then pursued his Master's degree in Dept. of Electrical and Computer Engineering at Seoul National University, from September 2009 to August 2011. Continuing his academic journey, he obtained his Doctorate degree in Dept. of Electrical and Computer Engineering. After completing his education, Jang Hyun Kim worked as a Development Researcher for DRAM (Dynamic Random-Access Memory) at SK hynix from September 2016 to February 2020. Subsequently, he served as an Assistant Professor in the Department of Electrical Engineering at Pukyong National University from March 2020 to February 2023. Currently, he holds the position of Assistant Professor in the Department of Electronic Engineering at Ajou University, starting from February 2023. His current research interests include logic semiconductor devices and power semiconductor devices.

Garam Kim
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Garam Kim received the B. S. and the 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 Department of Electronic Engineering at Myongji University, Yongin, where he is currently an assistant professor. His current research interests include GaN-based LEDs, tunnel FETs, neuromorphic devices, capacitor-less 1T DRAMs, and GaN HEMT.