Song Young Suh1,2
Jang Taejin2
Kim Hyun-Min2
Lee Jong-Ho2
Park Byung-Gook2,*
-
(Department of Computer Science, Korea Military Academy (KMA), Seoul 01805, Korea)
-
(Department of Electrical and Computer Engineering, Seoul National University, Seoul
08826, Korea)
Copyright © The Institute of Electronics and Information Engineers(IEIE)
Index Terms
SONOS memory, tunnel FET (TFET), erase speed, erase efficiency, nonvolatile charge trapping memory (CTM)
I. INTRODUCTION
As the growth of big data market and the demand for increased volume of the stored
data increases, Silicon-Oxide-Nitride-Oxide-Silicon (SONOS) nonvolatile charge trapping
memories (CTM) have been widely studied due to higher endurance, better scalability,
and lower power consumption compared to the conventional floating gate memories (1-6). However, even though this SONOS structure has been broadly adopted and investigated
in flash technology, the program and erase speed (P/E) is still one of the main issues
needed to be improved. Specifically, when the tunneling oxide thickness becomes thinner
for fast P/E operation, the increased direct tunneling leads to significant charge
loss and finally results in degradation of retention characteristics. In order to
solve this problem, several approaches on gate stacks have been proposed, such as
bandgap engineered (BE) tunneling oxide (7,8), high-${k}$ dielectrics and metal gate (9,10), BE charge trapping layer (CTL) (11), and in-situ silicon nanocrystals embedded in Si$_{3}$N$_{4}$ CTL (6). However, these proposed techniques in previous researches with controlling the oxide
thickness concomitantly face with trade off issues such as relationship between P/E
speed enhancement from thinner thickness and retention degradation (12,13).
More importantly, since the hole barrier between Si and SiO$_{2}$ (4.7 eV) is higher
than the electron barrier (3.2 eV) between them during P/E operation (14-17), the erase speed is one of the main challenge of SONOS memory needed to be overcome
(18-22). Even though this issue can be improved by applying higher erase voltage, this solution
results in higher power consumption.
Therefore, another ‘intrinsic’ solution is still needed to improve erase speed. Considering
the erase speed is mainly determined by the movement of hole, it can be intrinsic
solution to manipulate the p-type doping concentration. Specifically, Tunnel FET (TFET),
which has been widely researched for low power operation, have numerous p-type dopant
in source side. Since TFET has about 100,000 times of hole concentration in source
side compared to metal-oxide-semiconductor field-effect-transistors (MOSFET), it is
surmised that the TFET based memory structure can remarkably improve the erase speed
of memory device. Even though this doping technique can be a viable solution for erase
speed enhancement, the approach on doping technique hasn’t been widely studied for
improving erase speed.
In this work, the aim of this paper is to improve erase speed without making tunneling
oxide thinner, by utilizing the structure of TFET. Erase speed enhancement by boron
(B) doping is proposed and investigated in this paper. The relationship between B
doping and erase efficiency is investigated through memory devices based on MOSFET
and TFET structures.
This paper is organized as follows. First, the basic program and erase characteristics
such as change in electron trapped charge density and hole trapped charge density
are analyzed. Then, the improvement of erase efficiency from the TFET structure have
been widely investigated with erase speed, change of threshold voltage, and the cross-sectional
illustration describing the increased hole supplement. Finally, the effect of gate
length (L$_{\mathrm{gate}}$) and source-to-gate overlap length (L$_{\mathrm{Source
overlap}}$) on erase speed have been additionally analyzed for more detail investigation.
II. DEVICE STRUCTURE AND MODEL PHYSICS
Cross-sectional views of MOSFET based SONOS and TFET based SONOS are schematically
shown in Fig. 1. As SOI SONOS devices (23-25), the devices in this work have gate, source and drain terminals, and no body terminal
in order to reduce fabrication cost. Table 1 describes the film thickness and channel length for these devices. The blocking oxide
and tunneling oxide are composed of SiO$_{2}$ films and their thickness is 9 nm and
3 nm, respectively. The charge trapping layer is composed of 6 nm thick Si$_{3}$N$_{4}$.
In both types of devices, the channel length is 60 nm. The n+ source/drain and $p$ body in MOSFET based SONOS device have doping concentrations
of 1${\times}$10$^{20}$ cm$^{-3}$ and 1${\times}$10$^{15}$ cm$^{-3}$, respectively.
In TFET based SONOS device, which is suitable for low power operation, the $p$+ source and $n$+ drain have a doping concentration of 1${\times}$10$^{20}$ cm$^{-3}$, respectively,
and the $p$ region of channel has a doping concentration of 1${\times}$10$^{15}$ cm$^{-3}$
(26,27). A drain-to-gate underlap (source-to-gate overlap) structure is applied to the TFET
to suppress the ambipolar current, which undesirably increases the off state current.
Fig. 1. Schematic view illustrating (a) MOSFET based SONOS memory, (b) TFET based
SONOS memory.
Table 1. Film thickness and channel length in SONOS devices based on MOSFET and TFET
structures
|
Material
|
Thickness [nm]
|
Blocking oxide
|
SiO$_{2}$
|
9
|
Charge trapping layer
|
SiO$_{3}$N$_{4}$
|
6
|
Tunneling oxide
|
SiO$_{2}$
|
3
|
Channel thickness
|
Si
|
12
|
Channel length
|
Si
|
60
|
In order to investigate the electrical characteristics of these two devices, physical
models such as band-to-band tunneling (BTBT), trap-assisted-tunneling (TAT), Shockley-Read-Hall
(SRH) recombination, and electric field saturation models are applied in the device
simulation using Synopsys Sentaurus$^{\mathrm{TM}}$ TCAD tool. Furthermore, for the
purpose of modeling Si$_{3}$N$_{4}$ as CTL, charge trap density of 3 ${\times}$ 10$^{19}$
cm$^{-3}$ is applied for Si$_{3}$N$_{4}$ which corresponds to charge trap density
of Si$_{3}$N$_{4}$ in SONOS device (28), and nonlocal mesh was also used for adjusting Fowler-Nordheim (FN) tunneling and
direct tunneling.
Fig. 2. Program and erase pulse scheme.
Fig. 3. Electron trapped charge density change during program operation.
III. DEMONSTRATION OF ERASE SPEED ENHANCEMENT
As illustrated in Fig. 2, the program voltage of 16 V and erase voltages of -16, -18, -20 V were applied to
gate for investigating the effect of doping concentration on the P/E speed. Fig. 3 and 4 illustrates the program and erase efficiency respectively by comparing MOSFET
based SONOS and TFET based SONOS.
Even though TFET based SONOS has 3 times lower programing efficiency compared to MOSFET
based SONOS, TFET based SONOS has 10$^{4}$ times higher erase efficiency as shown
in Fig. 3 and 4. Specifically, a slight degradation of program can be explained by drain underlap
and the dopant distribution. Since MOSFET based SONOS has n-type dopant in both source
and drain region while TFET based SONOS has n-type dopant only in the drain region
(which is located far away from charge trapping layer in the underlap structure),
MOSFET based SONOS has slightly higher program efficiency compared to TFET based SONOS.
In the same vein, the erase speed enhancement can be also explained by the dopant
distribution. Since TFET based SONOS has a p-type doping concentration of 1${\times}$10$^{20}$
cm$^{-3}$ in the source region and whereas MOSFET based SONOS hasn’t, the TFET based
SONOS is significantly superior to MOSFET based SONOS in erase speed. Furthermore,
this erase speed enhancement can be achieved for various erase voltages such as -16
V, -18 V, and -20 V as shown in Fig. 4.
Fig. 4. Hole trapped charge density change during erase operation with erase voltages
of (a) -16 V, (b) -18 V, (c) -20 V.
The transfer characteristics before and after erase operation was demonstrated in
Fig. 5. For the fair comparison, threshold voltage was calculated when drain current is
10$^{-8}$ A/μm for MOSFET based SONOS and 10$^{-10}$ A/μm for TFET based SONOS, because
TFET derives low current and the new threshold voltage is needed to be defined (29). TFET based SONOS device showed threshold voltage shift about 0.61 V and this value
is about 4 times of MOSFET based SONOS device. In addition, TFET based SONOS has additional
advantage of lower off current and lower on current, which is suitable for low power
application, as shown in Fig. 5.
Fig. 5. Transfer characteristics before and after erase operation by V$_{\mathrm{ERS}}$
= -20 V with (a) MOSFET based SONOS, (b) TFET based SONOS.
In summary, since p/i/n structure of TFET based SONOS is possible to supply significant
amount of hole from source, erase speed can be significantly improved about 10$^{4}$
times with the advantage of low power operation for low power NAND flash application
and low power NOR flash application.
IV. ADDITIONAL PHYSICAL ANALYZATION ON ERASE SPEED ENHANCEMENTT
In order to investigate the physical mechanism of erase speed improvement, hole current
density during erase operation is investigated with MOSFET based SONOS and TFET based
SONOS. As shown in Fig. 6, TFET based SONOS has about 10$^{6}$ times of hole current density compared to MOSFET
based SONOS. Since TFET based SONOS can receive numerous amount of hole from p-type
source, significant hole current can flow at the channel of TFET based SONOS. In addition,
TFET based SONOS is possible to derive both of significant electron current from n-type
drain and enormous hole current from p-type source, and this advantage is very crucial
to TFET based memory application. Therefore, the doping technique is very strategic
to memory operation.
Fig. 6. Hole current density during erase operation by V$_{\mathrm{ERS}}$ = -20 V
with the cross-sectional view of (a) MOSFET based SONOS, (b) TFET based SONOS.
Moreover, the relationship between erase efficiency and body doping concentration
of MOSFET based SONOS device is also investigated to discover the specific reason
of erase speed enhancement as shown in Fig. 7. For all cases with erase voltage of -16, -18, -20 V, MOSFET with higher body doping
concentration has higher erase efficiency. In particular, erase efficiency is significantly
improved when the body doping concentration becomes bigger than 5${\times}$10$^{19}$
cm$^{-3}$. This is because when the body doping concentration becomes bigger than
5${\times}$10$^{19}$ cm$^{-3}$, not only more hole supplement occurs, but also bandgap
narrowing of silicon channel (30) also helps more hole movement. Specifically, when the bandgap narrowing occurs (30), the bandgap of silicon becomes narrower and energy of conduction band decreases.
Therefore, the hole in the conduction band of channel easily moves to charge trap
layer (CTL), and the erase speed is greatly improved when the body doping concentration
becomes greater than 5${\times}$10$^{19}$ [Fig. 7]. Therefore, our aforementioned analysis ‘The erase speed improvement at TFET based
SONOS originates from considerable amount of hole supplement from source can be a
reasonable analyzation.
Fig. 7. Relationship between erase efficiency and body doping of MOSFET based SONOS
device with erase voltage of (a) -16 V, (b) -18 V, (c) -20 V.
Furthermore, this erase speed improvement achieved by increased body doping can apply
in three-dimensional (3D) vertical NAND (VNAND) application. By adjusting the doping
concentration of channel, it is expected that the 3D VNAND structure is also possible
to improve erase efficiency. In particular, erase speed of the cells which are not
located in the edge of VNAND string can be effectively improved by this doping technique.
Fig. 8. Analysis on the effect of gate length on the erase speed in TFET based SONOS.
Fig. 9. Effect of scaling on the potential of CTL in TFET based SONOS during erase
operation.
Regarding the scaling issues, it has been demonstrated that the scaling of memory
devices deteriorates the erase speed efficiency [Fig. 8]. This can be explained by the relationship between scaling and gate controllability.
From the previous research (31), it is well known fact that the scaling with short L$_{\mathrm{gate}}$ decreases
gate controllability. Namely, the decreased gate controllability from short L$_{\mathrm{gate}}$
deteriorates the potential of CTL during erase operation [Fig. 9], and therefore the erase speed of scaled memory device becomes worse [Fig. 8].
Regarding device geometry of source-to-gate overlap in TFET, which has been widely
investigated for the suppression of ambipolar current (32,33), erase speed is slightly increased as L$_{\mathrm{Source overlap}}$ increases [Fig. 10]. Since source side in TFET has higher hole current density as demonstrated in Fig. 6(b), the TFET device with higher L$_{\mathrm{Source overlap}}$ has higher erase efficiency.
In addition, the energy band diagram during erase operation [Fig. 11] also demonstrates that the TFET has higher erase efficiency and stores more amount
of hole during erase operation.
Fig. 10. Analysis of erase speed enhancement depending device geometry of TFET (Source
overlap length (L$_{\mathrm{Source overlap}}$) will be illustrated in Fig. 12).
Fig. 11. Comparison of energy band diagram of MOSFET based SONOS (black line) and
that of TFET based SONOS (red line) during erasing operation. The abbreviated letters
S, O, N, O stand for Si (channel), SiO$_{2}$ (tunneling oxide), Si$_{3}$N$_{4}$ (CTL),
SiO2 (blocking oxide) respectively.
Even though the increase of erase speed from source overlap (1.12 times) is somewhat
small compared to that from boron doping technique at source region (10$^{4}$ times),
it is remarkable that the source overlap can improve not only ambipolar current (32,33) but also erase speed at the same time.
Fig. 12. Schematic diagram illustrating both of hole supplement (source) and electron
supplement (drain) in TFET based SONOS.
In summary, the erase speed enhancement by incorporating TFET structure is achieved
by the asymmetric structure of TFET, namely structure with electron supplier of n$^{+}$
type drain and hole supplier of p$^{+}$ type source [Fig. 12]. Therefore, TFET can be a viable solution for the future memory device with enhanced
erase speed and source overlap in TFET can contribute to not only suppression of ambiploar
current but also enhancement of erase speed as well.
V. CONCLUSIONS
In this paper, we have demonstrated erase speed enhancement at Tunnel FET (TFET) based
SONOS device. From the several analyzation on physical mechanism of erase speed enhancement,
it has been demonstrated that this erase speed enhancement originates from significant
amount of hole supplement through p-type source. Even though TFET based SONOS has
3 times lower programing efficiency compared to MOSFET based SONOS, TFET based SONOS
has 10$^{4}$ times higher erase efficiency in terms of trapped charge. In addition,
the transfer curve showed the threshold voltage shift with TFET based SONOS is about
4 times compared to threshold shift with MOSFET based SONOS. In essential, TFET based
SONOS is possible to flow both of significant electron current from n$^{+}$ drain
and enormous hole current from p$^{+}$ source, and this advantage is very strategic
to memory application. Therefore, the doping technique is very important in operation
of memory devices and TFET based memory can be a promising candidate for the future
low power application with higher erase speed.
ACKNOWLEDGMENTS
This work was supported by 2021 research fund of Korea Military Academy (Hwarangdae
Research Institute). This work was supported in part by the Brain Korea 21 Plus Project
in 2021.
REFERENCES
Liu Y., Jan 2017, Electric Field Induced Nitride Trapped Charge Lateral Migration
in a SONOS Flash Memory, IEEE Electron Device Letters, Vol. 38, No. 1, pp. 48-51
Hsieh E. R., Wang H. T., Chung S. S., Chang W., Wang S. D., Chen C. H., July 2016,
Experimental techniques on the understanding of the charge loss in a SONOS nitride-storage
nonvolatile memory, 2016 IEEE 23rd International Symposium on the Physical and Failure
Analysis of Integrated Circuits (IPFA), pp. 38-42
Gupta D., Vishvakarma S. K., Sep 2016, Impact of LDD Depth Variations on the Performance
Characteristics of SONOS NAND Flash Device, IEEE Transactions on Device and Materials
Reliability, Vol. 16, No. 3, pp. 298-303
Jung J. -W., Cho W. -J., Mar 2008, Tunnel Barrier Engineering for Non-Volatile Memory,
Journal of Semiconductor Technology and Science, Vol. 8, No. 1, pp. 32-39
Kim T., Park K., Jang T., Baek M. H., Song Y. S., Park B. -G., Jan 2020, Input-modulating
adaptive neuron circuit employing asymmetric floating-gate MOSFET with two independent
control gates, Solid-State Electronics, Vol. 163, pp. 107667-1-107667-5
Kim T., Song Y. S., Park B. -G., Oct 2019, Overflow handling integrate-and-fire silicon-on-insulator
neuron circuit incorporating a Schmitt trigger implemented by back-gate effect, Vol.
19, No. 10, pp. 6183-6186
Lue H. -T., Dec 2005, BE-SONOS: A bandgap engineered SONOS with excellent performance
and reliability, IEEE International Electron Devices Meeting, pp. 547-550
Song Y. S., et al. , June 2020, Tunneling oxide engineering for improving retention
in nonvolatile charge-trapping memory with TAHOAOS (TaN/Al2O3/HfO2/ SiO2/Al2O3/SiO2/Si)
structure, Japanese Journal of Applied Physics, Vol. 59, No. 6, pp. 061006-1
Lee C. H., Choi K. I., Cho M. K., Song Y. H., Park K. C., Kim K., Dec 2003, A novel
SONOS structure of SiO/sub 2//SiN/Al/sub 2/O/sub 3/ with TaN metal gate for multi-giga
bit flash memories, IEEE International Electron Devices Meeting, pp. 26.5.1-26.5.4
Choi Y., Feb 2020, Simulation of the effect of parasitic channel height on characteristics
of stacked gate-all-around nanosheet FET, Solid-State Electronics, Vol. 164, pp. 107686-1-107686-7
Wu K. -H., Chien H. -C., Chan C. -C., Chen T. -S., Kao C. -H., May 2005, SONOS device
with tapered bandgap nitride layer, IEEE Transactions on Electron Devices, Vol. 52,
No. 5, pp. 987-992
Guan W., Long S., Liu M., Liu Q., Li Z., Jia R., May 2007, Modeling of retention characteristics
for metal and semiconductor nanocrystal memories, Solid-State Electronics, Vol. 51,
No. 5, pp. 806-811
Liu Y., Tang S., Banerjee S. K., Jan 2006, Tunnel oxide thickness dependence of activation
energy for retention time in SiGe quantum dot flash memory, Applied Physics Letters,
Vol. 88, pp. 213504-1-213504-3
Choi S., Han J., Kim S., Moon D., Jang M., Choi Y., June 2010, A novel TFT with a
laterally engineered bandgap for of 3D logic and flash memory, Symposium on VLSI Technology,
pp. 111-112
Wang S., April 2007, Reliability and Processing Effects of Bandgap Engineered SONOS
(BE-SONOS) Flash Memory, IEEE International Reliability Physics Symposium Proceedings,
pp. 171-176
Song Y. S., Kim J. H., Kim G., Kim H. -M., Kim S., Park B. -G., Improvement in Self-heating
Characteristic by Incorporating Hetero-gate-dielectric in Gate-All-Around MOSFETs,
IEEE Journal of the Electron Devices Society
Song Y. S., May 2021, Improvement in Self-Heating Characteristic by Utilizing Sapphire
Substrate in Omega-Gate-Shaped Nanowire Field Effect Transistor for Wearable, Military,
and Aerospace Application, Journal of Nanoscience and Nanotechnology, Vol. 21, No.
5, pp. 3092-3098
Lo R., May 2015, A Study of Blocking and Tunnel Oxide Engineering on Double-Trapping
(DT) BE-SONOS Performance, IEEE International Memory Workshop (IMW), pp. 1-4
Zakaria M. R., Kasjoo S. R., Mahyidin A. F., Al-Mufti A. W., Ayub R. M., Hashim U.,
Aug 2014, Fabrication of SONOS flash memory device by using engineered tunnel barrier
technique, IEEE International Conference on Semiconductor Electronics (ICSE2014),
pp. 436-439
Padovani A., Sept 2011, A Comprehensive Understanding of the Erase of TANOS Memories
Through Charge Separation Experiments and Simulations, IEEE Transactions on Electron
Devices, Vol. 58, No. 9, pp. 3147-3155
Mauri A., Dec 2008, A new physics-based model for TANOS memories program/erase, IEEE
International Electron Devices Meeting, pp. 1-4
Park Y., Dec 2006, Highly Manufacturable 32Gb Multi -- Level NAND Flash Memory with
0.0098 μm2 Cell Size using TANOS(Si - Oxide - Al2O3 - TaN) Cell Technology, International
Electron Devices Meeting, pp. 1-4
Padilla A., Liu T. K., Apr 2007, Dual-bit SONOS FinFET Non-Volatile Memory Cell and
New Method of Charge Detection, 2007 International Symposium on VLSI Technology, Vol.
systems and applications (vlsi-tsa), pp. 1-2
Xuan P., She M., Harteneck B., Liddle A., Bokor J., King T. -., Dec 2003, FinFET SONOS
flash memory for embedded applications, IEEE International Electron Devices Meeting
2003, pp. 26.4.1-26.4.4
Fujiwara I., Aozasa H., Nakamura A., Hayashi Y., Kobayashi T., 2000, MONOS memory
cell scalable to 0.1um and beyond, IEEE Non-Volatile Semiconductor Memory Workshop,
pp. 117-118
Anghel C., Hraziia , Gupta A., Amara A., Vladimirescu A., June 2011, 30-nm Tunnel
FET With Improved Performance and Reduced Ambipolar Current, IEEE Transactions on
Electron Devices, Vol. 58, No. 6, pp. 1649-1654
Leung G., Chui C. O., Jan 2013, Stochastic Variability in Silicon Double-Gate Lateral
Tunnel Field-Effect Transistors, IEEE Transactions on Electron Devices, Vol. 60, No.
1, pp. 84-91
Zou X., Mar 2019, The influence of grain boundary interface traps on electrical characteristics
of top select gate transistor in 3D NAND flash memory, Solid-State Electronics, Vol.
153, pp. 67-73
Boucart K., Lonescu A. M., Sep 2008, A new definition of threshold voltage in Tunnel
FETs, Solid-State Electronics, Vol. 52, No. 9, pp. 1318-1323
Lanyon H. P. D., July 1979, Bandgap narrowing in moderately to heavily doped silicon,
IEEE Transactions on Electron Devices, Vol. 26, No. 7, pp. 1014-1018
Ko M. -D., July 2013, Study on a Scaling Length Model for Tapered Tri-Gate FinFET
Based on 3-D Simulation and Analytical Analysis, IEEE Transactions on Electron Devices,
Vol. 60, No. 9, pp. 2721-2727
Goswami R., Mar 2014, Hetero-gate-dielectric gate-drain underlap nanoscale TFET with
a δp+ Si1-xGex layer at source-channel tunnel junction, 2014 International Conference
on Green Computing Communication and Electrical Engineering
Kim J. H., Aug 2020, Analysis of Current Variation with Work Function Variation in
L-Shaped Tunnel-Field Effect Transistor, Micromachines, Vol. 11, No. 8, pp. 780-789
Author
Young Suh Song is Professor in department of Computer Science (CS) at Korea Military
Academy.
His current research interests have included semiconductor reliability (self-heating
effect and retention characteristics), AI semiconductor, Machine Learning (ML) for
demographics and economics, NAND Flash and NOR Flash, low temperature logic device
for CPU, low power logic device (Tunnel FET, TFET) for cell phone and laptop, and
germanium (Ge) based logic device (2030 ~ 2050) which is one of the promising candidates
for replacing current silicon (Si) based CPU technology.
He has authored and co-authored over 30 research papers in journals and conferences.
He served as a member on several international conferences including International
Microprocesses and Nanotechnology Conference (MNC), International Nanotech Symposium
& Exhibition, and Institute of Electrical and Electronics Engineers (IEEE).
He received "Best Paper" Award from the Institute of Electronics and Information
Engineers (IEIE) in 2021.
Taejin Jang received the B.S degrees in the Department of Electrical and Computer
Engineering from Seoul National University, Seoul, Korea, in 2016.
He is currently in MS & PhD course in the Department of Electrical and Computer Engineering
at Seoul National University.
His recent interests include SB Schottky Barrier MOSFET, synaptic devices, AND flash,
NOR flash, and neuromorphic system.
Hyun-Min Kim received the B.S degrees in the Department of Electrical and Computer
Engineering from Seoul National University, Seoul, Korea, in 2016.
He is currently in MS & PhD course in the Department of Electrical and Computer Engineering
at Seoul National University.
His recent interests include Tunnel FET, low power operation, Thin Film Transistor,
CMOS technology.
Jong-Ho Lee received the B.S. degree from Kyungpook National University, Daegu, Korea,
in 1987 and the M.S. and Ph.D. degrees from Seoul National University, Seoul, in 1989
and 1993, respectively, all in electronic engineering.
In 1993, he worked on advanced BiCMOS process development at ISRC, Seoul National
University as an Engineer.
In 1994, he was with the School of Electrical Engineering, Wonkwang University, Iksan,
Chonpuk, Korea.
In 2002, he moved to Kyungpook National University, Daegu Korea, as a Professor of
the School of Electrical Engineering and Computer Science.
Since September 2009, he has been a Professor in the School of Electrical and Computer
Engineering, Seoul National University, Seoul Korea.
Byung-Gook Park received his B.S. and M.S. degrees in electronics engineering from
Seoul National University (SNU) in 1982 and 1984, respectively, and his Ph. D. degree
in electrical engineering from Stanford University in 1990.
From 1990 to 1993, he worked at the AT&T Bell Laboratories, where he contributed
to the development of 0.1 micron CMOS and its characterization.
From 1993 to 1994, he was with Texas Instruments, developing 0.25 micron CMOS.
In 1994, he joined SNU as an assistant professor in the School of Electrical Engineering
(SoEE), where he is currently a professor.
His current research interests include the design and fabrication of nanoscale CMOS,
flash memories, silicon quantum devices and organic thin film transistors.
He has authored and co-authored over 1000 research papers in journals and conferences.
Prof. Park has served as a committee member on several international conferences
including Microprocesses and Nanotechnology, IEEE International Electron Devices Meeting,
International Conference on Solid State Devices and Materials, and IEEE Silicon Nanoelectronics
Workshop and served as an Editor of IEEE Electron Device Letters.